李军教授于2017年获得了著名的IEEE GRSS早期职业奖，“以表彰其在创新的高光谱和SAR遥感图像处理算法方面的杰出贡献”。她于2019年获得了IEEE地球科学与遥感学报（TGRS）最佳审稿人的表彰。她获得了2015年IEEE应用地球观测和遥感杂志（J-STARS）最佳审稿人的认可。李教授曾于2015年、2016年、2017年、2018年和2019年担任SPIE遥感高性能计算会议的总主席。她还担任国际数字图像处理会议（ICDIP 2019）总主席和遥感图像分析多传感器数据融合国际研讨会（IWMS 2014）总主席。她曾在2015年、2016年、2017年、2018年和2019年担任IGARSS的技术委员会成员和会议主席（同时也是IGARSS 2020的技术委员会委员）。李教授曾在多个机构担任客座研究员/教授，包括冰岛大学电气与计算机工程学院；西班牙埃斯特雷马杜拉大学高光谱计算实验室；比利时鲁汶大学地球与环境科学系；意大利帕维亚大学电信和遥感实验室；中国科学院遥感与数字地球研究所地球观测与数字地球中心；湖南大学电气工程系；以及湖南科技大学。
李军教授协调了国家科学基金、国家科技创新部和广东省自然科学基金的多项研究项目她曾担任2021年IEEE GRSS高光谱图像和信号处理研讨会技术委员会主席。她还是技术计划委员会的成员，并主持了其他20多个国际会议和研讨会。李教授曾担任中国国家科学基金会、中国留学基金委员会和比利时科学政策委员会的提案评估员。她曾参与中国、比利时和瑞士不同大学的终身教职选拔委员会。她还担任过国际期刊的积极评审员，为30多种不同的期刊评审了300多篇稿件。
教育经历
[1] 2000.9 -- 2004.6 湖南师范大学 地理信息系统 大学本科 工学学士学位
[2] 2004.9 -- 2007.6 北京大学 摄影测量与遥感 硕士研究生毕业 工学硕士学位
[3] 2007.9 -- 2011.6 University of Lisbon 电气与计算机工程 博士研究生毕业 博士学位
工作经历
[1] 2011.6 -- 2013.12 University of Extremadura 博士后
[2] 2014.1 -- 2021.12 中山大学 地理科学与规划学院 教授，博士生导师
[3] 2022.1 -- 至今 中国地质大学（武汉） 计算机学院 教授，博士生导师
[1] 高光谱图像分类、分割、混合像元分解，LiDAR，Inverse Problem，遥感图像融合，信号处理，监督/半监督/主动学习
期刊论文：
1. R. Cai, C. Liu, J. Li*. Efficient phase-induced gabor cube selection and weighted fusion for hyperspectral image classification. Science China Technological Sciences, vol. 65, no. 4, pp. 778-792, April 2022. [IF(2022)=3.903]
2. J. Yue, L. Fang, P. Ghamisi, W. Xie, J. Li, J. Chanussot, A. Plaza. Optical remote sensing image understanding with weak supervision: Concepts, methods, and perspectives. IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 250 - 269, April 2022. [IF(2022)=13.924]
3. L. Liang, S. Zhang, J. Li. Multiscale DenseNet Meets With Bi-RNN for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote, vol. 15, pp. 5401 - 5415, June 2022. [IF(2022)=4.714]
4. Y. Li, Q. Shi, L. He, R. Cai, L. Meng, J. Li*, A. Plaza. Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote, vol. 15, pp. 7359 - 7374, August 2022. [IF(2022)=4.714]
5. P. Liu, J. Li, L. Wang, G. He. Remote Sensing Data Fusion With Generative Adversarial Networks: State-of-the-Art Methods and Future Research Directions. IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 295-328, April 2022. [IF(2022)=13.924]
6. H. Li, W. Hu, W. Li, J. Li, Q. Du, A. Plaza. A³CLNN: Spatial, spectral and multiscale attention ConvLSTM neural network for multisource remote sensing data classification. IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 747 - 761, February 2022. [IF(2022)=14.255]
7. Y. Li, R. Cai, J. Li*, Z. Liu, L. Meng, L. He. Pansharpening-Based Spatio-Temporal Fusion for Predicting Intense Surface Changes. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2022. [IF(2022)=8.125]
8. B. Song, P. Liu, J. Li, L. Wang, L. Zhang, G. He, L. Chen, J. Liu. MLFF-GAN: A Multi-level Feature Fusion with GAN for Spatiotemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2022. [IF(2022)=8.125]
9. R. Fan, J. Li, W. Song, W. Han, J. Yan, L. Wang. Urban informal settlements classification via a transformer-based spatial-temporal fusion network using multimodal remote sensing and time-series human activity data. International Journal of Applied Earth Observation and Geoinformation, vol. 111, pp. 102831, July 2022. [IF(2022)=7.6722]
10. L. Yan, J. Li*, C. Xiao. Vicarious Radiometric Calibration of the AHSI Instrument Onboard ZY1E on Dunhuang Radiometric Calibration Site. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2022. [IF(2022)=8.125]
11. T. Song, Y. Wang, C. Gao, H. Chen, J. Li. MSLAN: A Two-Branch Multi-Directional Spectral-Spatial LSTM Attention Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2022. [IF(2022)=8.125]
12. B. Liang, C. Liu, J. Li*, A. Plaza, JM Bioucas-Dias. Semisupervised Discriminative Random Field for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote, vol. 14, pp. 12403-12414, November 2021. [IF(2021)=3.784]
13. R. Cong, Y. Zhang, L. Fang, J. Li, C. Zhang, Y. Zhao, S. Kwong. RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
14. L. He, J. Zhu, J. Li, A. Plaza, J. Chanussot, Z. Yu. Cnn-based hyperspectral pansharpening with arbitrary resolution. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
15. B. Tu, X. Yang, X. Ou, G. Zhang, J Li, A Plaza. Ensemble Entropy Metric for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
16. J. Li*, Y. Li, R. Cai, L. He, J. Chen. Enhanced Spatiotemporal Fusion via MODIS-Like Images. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
17. X. Guo, P. Li, J. Li. Lithological mapping using EO-1 Hyperion hyperspectral data and semisupervised self-learning method. Journal of Applied Remote Sensing, vol. 15, no. 3, pp. 032209, September 2021. [IF(2021)=1.530]
18. D. Ghosh, S. Chakravortty, AJP Miguel, J. Li. Change prediction and modeling of dynamic mangrove ecosystem using remotely sensed hyperspectral image data. Journal of Applied Remote Sensing, vol. 15, no. 4, pp. 042606, September 2021. [IF(2021)=1.530]
19. X. Jia, Y. Peng, J. Li, B. Ge, Y. Xin, S. Liu. Dual-complementary convolution network for remote-sensing image denoising. IEEE Geoscience and Remote Sensing Letters. vol. 19, pp. 1-5, August 2021. [IF(2021)=3.966]
20. R. Cai, C. Liu, J. Li*. Phase-Induced Gabor-Based Multiview Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. vol. 19, pp. 1-5, April 2021. [IF(2021)=3.966]
21. Y. Tang, R. Deng, J. Li, Y. Liang, L. Xiong, Y. Liu, R. Zhang, Z. Hua. Estimation of Ultrahigh Resolution PM2.5 Mass Concentrations Based on Mie Scattering Theory by Using Landsat8 OLI Images over Pearl River Delta. Remote Sensing, vol. 8, no. 8, 2021. [IF(2021)=4.848]
22. S. Mei, X. Chen, Y. Zhang, J. Li, A. Plaza. Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
23. Z. He, J. Li, L. Liu, D. He, M. Xiao. Multiframe video satellite image super-resolution via attention-based residual learning. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
24. X. Huang, S. Li, J. Li, X. Jia, J. Li, X. Zhu, JA Benediktsson. A multispectral and multiangle 3-D convolutional neural network for the classification of ZY-3 satellite images over urban areas. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
25. J. Li, Z. Liu, X. Lei, L. Wang. Distributed fusion of heterogeneous remote sensing and social media data: A review and new developments. Proceedings of the IEEE, vol. 109, no. 8, pp. 1350-1363, August 2021. [IF(2021)=10.96]
26. Y. Xu, H. Chen, C. Du, J. Li. MSACon: Mining spatial attention-based contextual information for road extraction. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
27. Z. Zeng, H. Chen, Q. Shi, J. Li*. Spatial downscaling of IMERG considering vegetation index based on adaptive lag phase. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
28. S. Zhang, G. Zhang, F. Li, C. Deng, S. Wang, A. Plaza, J. Li. Spectral-Spatial Hyperspectral Unmixing Using Nonnegative Matrix Factorization. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
29. Y. Su, X. Xu, J. Li, H. Qi, P. Gamba and A. Plaza. Deep Autoencoders with Multi-Task Learning for Bilinear Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2021. [IF(2021)=5.600]
30. W. Deng, Q. Shi and J. Li. Attention Gate Based Encoder-Decoder Network for Automatical Building Extraction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote, vol. 14, 2611 - 2620, February 2021. [IF(2021)=3.784]
31. L. Yan, Y. Hu, Y. Zhang, X. Li, C. Dou, J. Li, Y. Si and L. Zhang. Radiometric Calibration Evaluation for FY3D MERSI-II Thermal Infrared Channels at Lake Qinghai. Remote Sensing, 13, 466, January 2021. [IF(2021)= 4.848]
32. Z. Wu, J. Sun, Y. Zhang, Y. Zhu, J. Li, A. Plaza, J. A. Benediktsson and Z. Wei. Scheduling-guided automatic processing of massive hyperspectral image classification on cloud computing architectures. IEEE Transactions on Cybernetics, vol. 51, 3588 - 3601, October 2020. [IF(2020)=11.079]
33. Z. Liu, Q. Qiu, J. Li*, L. Wang and A. Plaza. Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media. IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 8, pp. 6935 - 6945, October 2020. [IF(2020)=5.855]
34. B. Shen, X. Xu, J. Li, A. Plaza and Q. Huang. Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network Kernel Density Estimation. ISPRS International Journal of Geo-Information, 9, 683, November 2020. [IF(2020)=2.239]
35. X. Xu, J. Li, S. Li, A. Plaza. Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote, vol. 107, 4908 - 4924, August 2020. [IF(2019)=3.827]
36. C. Liu, J. Li*, L. He, A. Plaza, S. Li and B. Li. Naive Gabor Networks for Hyperspectral Image Classification. IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 1, pp. 376 - 390, March 2020. [IF(2020)=8.739]
37. F. Xu, C. Hu, J. Li, A. Plaza and M. Datcu. Special Focus on Deep Learning in Remote Sensing Image Processing. Science China Information Sciences, vol. 63, no. 4, pp. 140300:1-140300:2, April 2020. [IF(2018)=2.731]
38. H. Yu, L. Gao, J. Li, and B. Zhang. Subspace-based multitask learning framework for hyperspectral imagery classification. Multimedia Tools and Applications, vol. 79, 8887–8909, 2020.
39. J. Li*, Y. Li, L. He, J. Chen and A. Plaza. Spatio-Temporal Fusion for Remote Sensing Data: An Overview New Benchmark. Science China Information Sciences, vol. 63, no. 4, pp. 140301:1-140301:17, April 2020. [IF(2018)=2.731]
40. Y. Li, J. Li*, L. He, J. Chen and A. Plaza. A New Sensor Bias-Driven Spatio-Temporal Fusion Model Based on Convolutional Neural Networks. Science China Information Sciences, vol. 63, no. 4, pp. 140302:1-140302:16, April 2020. [IF(2018)=2.731]
41. L. He, C. Liu, J. Li, and S. Li. Hyperspectral Image Spectral-Spatial-Range Gabor Filtering. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 7, pp. 4818 - 4836, February 2020. [IF(2020)=5.855]
42. S. Mei, G. Zhang, J. Li, Y. Zhang, Q. Du. Improving spectral-based endmember finding by exploring spatial context for hyperspectral unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 3336 - 3349, June 2020. [IF(2020)=3.827]
43. L. He, J. Zhu, J. Li, D. Meng, J. Chanussot, A. Plaza. Spectral-fidelity convolutional neural networks for hyperspectral pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 5898 - 5914, September 2020. [IF(2020)=3.827]
44. A. Samat, J. Li, C. Lin, S. Liu, and E. Li. Edge Gradient-based Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 9, pp. 1588 - 1592, November 2019. [IF(2019)=3.534]
45. X. Xu, J. Li*, S. Li and A. Plaza. Generalized Morphological Component Analysis for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2817 - 2832, December 2019. [IF(2019)=5.630]
46. B. Zhang, Z. Chen, D. Peng, J. A. Benediktsson, B. Liu, L. Zou, J. Li and A. Plaza. Remotely Sensed Big Data: Evolution in Model Development for Information Extraction. Proceedings of the IEEE, vol. 107, no. 12, pp. 2294-2301, December 2019 [IF(2019)=10.694]
47. J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and J. Li. Visual Attention-Driven Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 8065-8080, October 2019. [IF(2019)=5.630]
48. X. Xu, J. Li*, S. Li and A. Plaza. Subpixel Component Analysis for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 5564-5579, August 2019. [IF(2019)=5.630]
49. L. He*, J. Zhu, J. Li*, A. Plaza, J. Chanussot and B. Li. HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 8, pp. 3092-3100, August 2019. [IF(2019)=3.392]
50. J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and J. Li*. Hyperspectral Image Classification Using Random Occlusion Data Augmentation. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 11, pp. 1751 - 1755, April 2019. [IF(2019)=3.534]
51. J. M. Haut, M. E. Paoletti, R. Fernandez-Beltran, J. Plaza, A. Plaza and J. Li*. Remote Sensing Single-Image Super-Resolution Based on a Deep Compendium Model. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 9, pp. 1432-1436, September 2019. [IF(2019)=3.534]
52. Y. Gu, T. Liu, J. Li. Superpixel Tensor Model for Spatial-Spectral Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4705-4719, July 2019. [IF(2018)=5.630]
53. L. Guo, Y. Yu, H. Yu, Y. Tang, J. Li*, Y. Du, Y. Chu, S. Ma, Y. Ma and X. Zeng. Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system. Journal of the Science of Food and Agriculture, vol. 99, no. 12, pp. 5558-5564, May 2019. [IF(2018)=2.422]
54. M. E. Paoletti, J. M. Haut, R. Fernandez-Beltran, J. Plaza, A. Plaza, J. Li* and F. Pla. Capsule Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 4, pp. 2145-2160, April 2019. [IF(2018)=5.630]
55. Y. Su, J. Li*, A. Plaza, A. Marinoni, P. Gamba and S. Chakravortty. DAEN: Deep Auto-Encoder Networks for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4309-4321, July 2019. [IF(2018)=5.630]
56. L. He, Y. Rao, J. Li*, J. Chanussot, A. Plaza and J. Zhu. Pansharpening via Detail Injection Based Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 4, pp. 1188-1204, April 2019. [IF(2018)=3.392]
57. S. Xu, J. Li*, M. Khodadadzadeh, A. Marinoni, P. Gamba and B. Li. Abundance-Indicated Subspace for Hyperspectral Classification with Limited Training Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 4, pp. 1265-1278, April 2019. [IF(2018)=3.392]
58. Y. Xu, B. Shen, X. Xu and J. Li. A New CRF Based Semantic Resolution Approach of Unstructured Chinese Addresses. Geography and Geo-Information Science, 130.35(2), 18-24, 2019 (in Chinese)
59. H. Liu, J. Li*, L. He, and Y. Wang. Superpixel-Guided Layer-Wise Embedding CNN for Remote Sensing Image Classification. Remote Sensing, vol. 11, no. 2, 174, February 2019. [IF(2018)=4.118]
60. M. Zhang, M. Gong, Y. Mao, J. Li, Y. Wu. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 5, pp. 2669-2688, May 2019. [IF(2018)=5.630]
61. C. Liu, J. Li* and L. He. Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 1, pp. 357-370, Jan. 2019. [IF(2018)=3.392]
62. C. Zhu, J. Li*, S. Zhang, C. Wu, B. Zhang and L. Gao. Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 12, pp. 4775-4790, December 2018. [IF(2018)=3.392]
63. J. Cao, K. Liu, L. Liu, Y. Zhu, J. Li and Z. He. Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques, Remote Sensing, vol. 10, no. 12, 2047, December 2018. [IF(2018)=4.118]
64. Y. Yu, J. Li*, C. Zhu and A. Plaza. Urban Impervious Surface Estimation from Remote Sensing and Social Data. Photogrammetric Engineering & Remote Sensing, vol. 84, no. 12, pp. 771-780, December 2018. [IF(2017)=1.367]
65. J. M. Haut, M. E. Paoletti, J. Plaza, J. Li* and A. Plaza. Active Learning with Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6440-6461, November 2018. [IF(2018)=5.630]
66. X. Xu, X. Tong, A. Plaza, J. Li, H. Xie and L. Zhang. A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6763-6778, November 2018 [IF(2018)=5.630]
67. K. Tan, X. Wang, J. Zhu, J. Hu and J. Li. A novel active learning approach for the classification of hyperspectral imagery using quasi-Newton multinomial logistic regression. International Journal of Remote Sensing, vol.39, no.10, 3029-3054, October 2018. [IF(2018)=2.493]
68. Y. Liu , R. Deng, J. Li, Y. Qin, L. Xiong, Q. Chen , X. Liu. Multispectral Bathymetry via Linear Unmixing of the Benthic Reflectance, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no.11, 4349-4363, November 2018. [IF(2018)=3.392]
69. S. Zhang, J. Li*, Z. Wu, A. Plaza. Spatial Discontinuity-Weighted Sparse Unmixing of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 10, pp. 5767-5779, October 2018. [IF(2018)=5.630]
70. X.-R. Feng, H.-C. Li, J. Li, Q. Du, A. Plaza and W. J. Emery. Hyperspectral Unmixing Using Sparsity Constrained Deep Nonnegative Matrix Factorization with Total Variation. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 10, pp. 6245-6257, October 2018. [IF(2018)=5.630]
71. Y. Su, A. Marinoni, J. Li*, J. Plaza and P. Gamba. Stacked Nonnegative Sparse Auto-encoders for Robust Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 9, pp. 1427-1431, September 2018. [IF(2018)=3.534]
72. Y. Yu, H. Yu, L. Guo*, J. Li*, Y. Chu, et al. Accuracy and stability improvement in detecting Wuchang rice adulteration by piece-wise multiplicative scatter correction in the hyperspectral imaging system. Analytical Methods, vol. 10, pp. 3224-3231, 2018. [IF(2018)=2.378]
73. S. Zhang, J. Li*, H. Li, C. Deng and A. Plaza. Spectral-Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 6, pp. 3265-3276, June 2018. [IF(2018)=5.630]
74. Y. Liu, F. Condessa, J. Bioucas-Dias, J. Li*, P. Du, A. Plaza. Convex Formulation for Multiband Image Classification with Superpixel-Based Spatial Regularization. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2704-2721, May 2018. [IF(2018)=5.630]
75. L. Xiong, R. Deng, J. Li, X. Liu, Y. Qin, Y. Liang and Y. Liu. Subpixel Surface Water Extraction (SSWE) Using Landsat 8 OLI Data. Water, vol.10, no.5, pp. 653, 2018. [IF(2018)=2.524]
76. Z. Wu, L. Shi, J. Li, Q. Wang, L. Sun, Z. Wei, J. Plaza and A. Plaza. GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1131-1143, April 2018. [IF(2018)=3.392]
77. M. Chen, D. Liu, K. Qian, J. Li, M. Lei, Y. Zhou. Lunar Crater Detection Based on Terrain Analysis and Mathematical Morphology Methods Using Digital Elevation Models. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 7, pp. 3681-3692, July 2018. [IF(2018)=5.630]
78. C. Zhu, S. Zhang, J. Li*, H-C. Li. Spatially Weighted Collaborative Sparse Unmixing for Hyperspectral Images, Journal of Nanjing University of Information Science and Technology (Natural Science Edition), vol.10, no. 1, pp: 92-101, January 2018 (in Chinese).
79. X. Jiang, M. Gong, H. Li, M. Zhang, J. Li. A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 508-523, January 2018. [IF(2018)=5.630]
80. X. Xu, J. Li*, C. Wu and A. Plaza. Regional Clustering-Based Preprocessing for Hyperspectral Unmixing. Remote Sensing of Environment, vol. 204, pp. 333-346, 2018. [IF(2018)=8.828]
81. X. Xu, J. Li*, S. Li. Multiview Intensity-Based Active Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, pp. 669-680, February 2018. [IF(2018)=5.630]
82. L. He, J. Li*, C. Liu, S. Li. Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1579-1597, February 2018. [IF(2018)=5.630]
83. S. Chakravortty, J. Li* and A. Plaza. A Technique for Sub-Pixel Analysis of Dynamic Mangrove Ecosystems with Time-Series Hyperspectral Image Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1244-1252, April 2018. [IF(2018)=3.392]
84. Z. He, J. Li*, K. Liu, L. Liu, H. Tao. Kernel low-rank multitask learning in variational mode decomposition domain for multi-/hyperspectral classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 7, pp. 4193-4208, July 2018.[IF(2018)=5.630]
85. J. Hu, Z. He*, J. Li*, L. He and Y. Wang. 3D-Gabor Inspired Multiview Active Learning for Spectral-Spatial Hyperspectral Image Classification. Remote Sensing, vol. 10, no. 7, pp. 1070, July 2018. [IF(2018)=4.118]
86. C. Liu, L. He, Zhetao Li and J. Li*. Feature Driven Active Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 341-354, January 2018. [IF(2017)=4.662]
87. S. Zhang, A. Agathos, and J. Li*. Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6431-6439, November 2017. [IF(2017)=4.662]
88. A. Plaza, J. A. Benediktsson, J. Li, T. Yang and B. Zhang. Spatial Technology and Social Media. Proceedings of the IEEE, vol. 105, no. 10, pp. 1851-1854, October 2017. [IF(2017)=9.107]
89. X. Kang, X. Zhang, S. Li, K. Li, J. Li, J. A. Benediktsson. Hyperspectral Anomaly Detection with Attribute and Edge-Preserving Filters. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 10, pp. 5600-5611, October 2017. [IF(2017)=4.662]
90. Z. He, J. Li, L. Liu, Y. Shen, Three-dimensional empirical mode decomposition (TEMD): A fast approach motivated by separable filters, Signal Processing, vol. 131, pp. 307-319, Feb. 2017. [IF(2017)=3.470]
91. P. Ghamisi, J. Plaza, Y. Chen, J. Li and A. Plaza. Advanced Spectral Classifiers for Hyperspectral Images: A Review. IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 1, pp. 8-32, January 2017. [IF(2017)=4.932]
92. P. Ghamisi, N. Yokoya, J. Li, W. Liao, S. Liu, J. Plaza, B. Rasti and A. Plaza. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art. IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 37-78, April 2017. [IF(2017)=4.932]
93. L. He, J. Li, A. Plaza and Y. Li. Discriminative Low-Rank Gabor Filtering for Spectral-Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3, pp. 1381-1395, March 2017. [IF(2017)=4.662]
94. Z. Xue, P. Du, J. Li, and H. Su, Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 4, pp. 2351-2366, April 2017. [IF(2017)=4.662]
95. J. Guo, X. Zhou, J. Li, A. Plaza and S. Prasad. Superpixel Based Active Learning and Online Feature Importance Learning for Hyperspectral Image Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 1, pp. 347-359, January 2017. [IF(2017)=2.777]
96. Z. Xue, P. Du, J. Li, and H. Su, Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data, ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 124: 1-15. [IF(2017)=5.994]
97. J. Li, J. A. Benediktsson, B. Zhang, T. Yang and A. Plaza. Spatial Technology and Social Media in Remote Sensing: A Survey. Proceedings of the IEEE, vol. 105, no. 10, pp. 1855-1864, October 2017. [IF(2017)=9.107]
98. J. Li, Z. He, J. Plaza, S. Li, J. Chen, H. Wu, Y. Liu and Y. Wang. Social Media: New Perspectives to Improve Remote Sensing for Emergency Response. Proceedings of the IEEE, vol. 105, no. 10, pp. 1900-1912, October 2017. [IF(2017)=9.107]
99. J. Li, J. A. Benediktsson, B. Zhang, T. Yang and A. Plaza. Spatial Technology and Social Media in Remote Sensing: Challenges and Opportunities. Proceedings of the IEEE, vol. 105, no. 9, pp. 1583-1585, September 2017. [IF(2017)=9.107]
100. H. Liu, L. He, J. Li. Advances in Deep Learning and Its Applications in Image Processing. ZTE Communications, vol. 23, no.4, pp. 36-40, April 2017 (in Chinese).
101. Y. Liu, J. Li*, P. Du, A. Plaza, X. Jia and X. Zhang. Class-Oriented Spectral Partitioning for Remotely Sensed Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 2, pp. 691-711, February 2017. [IF(2017)=2.777]
102. R. Wang, H.-C. Li, A. Pizurica, J. Li, A. Plaza and W. J. Emery. Hyperspectral Unmixing using Double Reweighted Sparse Regression and Total Variation. IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 7, pp. 1146-1150, July 2017. [IF(2017)=2.893]
103. Q. Lu, X. Huang, J. Li, L. Zhang. A Novel MRF-Based Multifeature Fusion for Classification of Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 4, pp. 515-519, April 2016. [IF(2016)=2.761]
104. X. Xu, J. Li*, X. Huang, M. Dalla Mura and A. Plaza. Multiple Morphological Component Analysis Based Decomposition for Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 3083-3102, May 2016. [IF(2016)=4.942]
105. Y. Liu, J. Li*, and A. Plaza. Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 668-680, Feb. 2016. [IF(2016)=2.913]
106. J. Li, J. M. Bioucas-Dias, A. Plaza and L. Liu. Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 10, pp. 6076-6090, Oct. 2016. [IF(2016)=4.942]
107. J. Li, M. Khodadadzadeh, A. Plaza, X. Jia and J. M. Bioucas-Dias. A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 625-639, February 2016. [IF(2016)=2.913]
108. Z. He, J. Li, L. Liu, K. Liu, L. Zhuo, Fast three-dimensional empirical mode decomposition of hyperspectral images for class-oriented multitask learning, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 11, pp. 6625-6643, Nov. 2016. [IF(2016)=4.942]
109. Y. Su, X. Sun, L. Gao, J. Li, and B. Zhang. Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images. Journal of Applied Remote Sensing, vol. 10, no. 4, Article ID 045018, 19 pages, Nov. 2016. [IF(2016)=1.107]
110. J. Liu, Z. Wu, J. Li, L. Xiao, A. Plaza and J. A. Benediktsson. Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, no. 9, pp.4129-4141, September 2016. [IF(2016)=2.913]
111. Z. He, J. Li, L. Liu, Tensor block-sparsity based representation for spectral-spatial hyperspectral image classification, Remote Sensing, vol. 8, no.8, pp. 1-21, August 2016. [IF(2016)=3.244]
112. Z. Wu, Y. Li, A. Plaza, J. Li, F. Xiao and Z. Wei. Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 6, pp. 2270-2278, June 2016. [IF(2016)=2.913]
113. A. Samat, J. Li, S. Liu, P. Du, Z. Miao, J. Luo. Improved hyperspectral image classification by active learning using pre-designed mixed pixels, Pattern Recognition. vol. 51, pp.43-58, 2016. [IF(2016)=4.582]
114. S. Zhang, J. Li, K. Liu, C. Deng, L. Liu and A. Plaza. Hyperspectral Unmixing Based on Local Collaborative Sparse Regression. IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 5, pp. 631-635, May 2016. [IF(2016)=2.761]
115. X. Tan, F. Wu, Z. Yuan, J. Li. Parallel Optimization of LORSAL Algorithm for Remote Sensing Image Classification Based on GPU. Remote sensing information, 31(1), 96-101, 2016. (in Chinese).
116. B. Song, P. Li, J. Li, and A. Plaza. One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 4, pp. 1613-1623, April 2016. [IF(2016)=2.913]
117. J. Liu, Z. Wu, J. Li, A. Plaza and Y. Yuan. Probabilistic Kernel Collaborative Representation for Spatial-Spectral Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 4, pp. 2371-2384, April 2016. [IF(2016)=4.942]
118. Y. Xu, Z. Wu, J. Li, A. Plaza and Z. Wei. Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 4, pp. 1990-2000, April 2016. [IF(2016)=4.942]
119. J. Ou, X. Liu, X. Li, Y. Chen, and J. Li. Quantifying spatiotemporal dynamics of urban growth modes in metropolitan cities of China: Beijing, Shanghai, Tianjin, and Guangzhou. Journal of Urban Planning and Development, 143(1), 04016023, 2016. [IF(2017)=1.252]
120. H. Yu, L. Gao, J. Li, S. Li, B. Zhang, and J. Benediktsson. Spectral-spatial hyperspectral image classification using subspace-based support vector machines and adaptive Markov random fields, Remote Sensing, 8(4), 355, 2016. [IF(2016)=3.244]
121. X. Sun, L. Yang, L. Gao, B. Zhang, S. Li, and J. Li. Hyperspectral image clustering method based on artificial bee colony algorithm and Markov random fields. Journal of Applied Remote Sensing, 9(1), 095047, 2015. [IF(2015)=2.246]
122. J. Li, A. Agathos, D. Zaharie, J. M. Bioucas Dias, A. Plaza, and X. Li, Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 9, pp. 5067-5082, September 2015. [IF(2015)=3.360]
123. J. Li, I. Dopido, P. Gamba and A. Plaza. Complementarity of Discriminative Classifiers and Spectral Unmixing Techniques for the Interpretation of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2899-2912, May 2015. [IF(2015)=3.360]
124. J. Li, X. Huang, P. Gamba, J. Bioucas, L. Zhang, J. Benediksson, and A. Plaza. Multiple Feature Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.3, pp.1592-1606, March 2015. [IF(2015)=3.360]
125. M. Khodadadzadeh, J. Li*, S. Prasad and A. Plaza. Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2971-2983, June 2015. [IF(2015)=2.145]
126. L. Gao, J. Li*, M. Khodadadzadeh, A. Plaza, B. Zhang, Z. He, and H. Yan. Subspace-Based Support Vector Machines for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol.12, no.2, pp.349-353, Feb. 2015. [IF(2015)=2.228]
127. Z. Xue, P. Du, J. Li, and H. Su. Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 6114-6133, Nov. 2015. [IF(2015)=3.360]
128. Q. Shen, J. Li, F. Zhang, X. Sun, J. Li, W. Li. Classification of Several Optically Complex Waters in China Using in Situ Remote Sensing Reflectance, Remote Sensing, vol. 7, no. 11, pp. 14731-14756, 2015. [IF(2015)=3.036]
129. Z. Wu, J. Liu, A. Plaza, J. Li, and Z. Wei. GPU Implementation of Composite Kernels for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 9, pp. 1973-1977, Sept. 2015. [IF(2015)=2.228]
130. P. Du, Z. Xue, J. Li, and A. Plaza. Learning Discriminative Sparse Representations for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 6, pp. 1089-1104, Sept. 2015. [IF(2015)=2.569]
131. Z. Wu, Q. Wang, A. Plaza, J. Li, L. Sun, and Z. Wei. Real-Time Implementation of the Sparse Multinomial Logistic Regression for Hyperspectral Image Classification on GPUs. IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 7, pp. 1456-1460, July 2015. [IF(2015)=2.228]
132. Z. Wu, Q. Wang, A. Plaza, J. Li, L. Sun and Z. Wei. Parallel Spatial-Spectral Hyperspectral Image Classification with Sparse Representation and Markov Random Fields on GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2926-2938, June 2015. [IF(2015)=2.145]
133. Z. Wu, Q. Wang, A. Plaza, J. Li, J. Liu and Z. Wei. Parallel Implementation of Sparse Representation Classifiers for Hyperspectral Imagery on GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2912-2925, June 2015. [IF(2015)=2.145]
134. L. Gao, J. Gao, J. Li, A. Plaza, L. Zhuang, X. Sun, and B. Zhang. Multiple algorithm integration based on ant colony optimization for endmember extraction from hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2569-2582, June 2015. [IF(2015)=2.145]
135. L. Zhuang, B. Zhang, L. Gao, J. Li, and A. Plaza. Normal endmember spectral unmixing method for hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2598-2606, June 2015. [IF(2015)=2.145]
136. J. Liang, X. Liu, K. Huang, X. Li, X. Shi, Y. Chen, and J. Li. Improved snow depth retrieval by integrating microwave brightness temperature and visible/infrared reflectance. Remote Sensing of Environment. 156: 500-509, 2015. [IF(2015)=5.881]
137. Y Wu, J. Li, L Gao, X. Tan, and B. Zhang. Graphics processing unit-accelerated computation of the Markov random fields and loopy belief propagation algorithms for hyperspectral image classification. Journal of Applied Remote Sensing, 9(1), 097295 (2015). doi:10.1117/1.JRS.9.097295. [IF(2015)=0.937]
138. K. Tan, J. Hu, J. Li, and P. Du. A novel semi-supervised hyperspectral image classification approach based on spatial neighborhood information and classifier combination. ISPRS journal of Photogrammetry and Remote Sensing, 105, 19-29, 2015. [IF(2015)=5.994]
139. Z. Xue, J. Li, L. Cheng, and P. Du. Spectral-Spatial Classification of Hyperspectral Image via Morphological Component Analysis Based Image Separation. IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 1, pp 70-84, 2015. [IF(2015)=3.360]
140. M. Khodadadzadeh, J. Li*, A. Plaza, and J. M. Bioucas-Dias. A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 12, pp. 2105-2109, December 2014. [IF(2014)=2.095]
141. M. Khodadadzadeh, J. Li*, A. Plaza, H. Ghassemian, J. M. Bioucas-Dias and X. Li. Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6298-6314, October 2014. [IF(2014)=3.514]
142. I. Dopido, J. Li*, A. Plaza and P. Gamba. A New Hybrid Strategy Combining Semi-Supervised Classification and Unmixing of Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.8, pp.3619-3629, Aug. 2014. [IF(2014)=3.026]
143. A. Agathos, J. Li*, D. Petcu and A. Plaza. Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2281-2296, June 2014. [IF(2014)=3.026]
144. J. Li, P. Gamba, and A. Plaza. A Novel Semi-Supervised Method for Obtaining Finer Resolution Urban Extents Exploiting Coarser Resolution Maps. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.10, pp.4276,4287, Oct. 2014. [IF(2014)=3.026]
145. B. Song, J. Li, M. Dalla Mura, P. Li, A. Plaza, J. M. Bioucas Dias, J. A. Benediktsson and J. Chanussot. Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 8, pp. 5122-5136, August 2014. [IF(2014)=3.514]
146. S. Alim, P. Du, S. Liu, J. Li, L.-Ch. Liang. E2LMs: Ensemble Extreme Learning Machines for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.4, pp.1060-1069, April 2014. [IF(2014)=3.026]
147. X. Huang, X. Guan, J. A. Benediktsson, L. Zhang, J. Li, A. Plaza and M. Dalla Mura. Multiple Morphological Profiles from Multicomponent Base Images for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, no. 12, pp. 4653-4669, Dec. 2014. [IF(2014)=3.026]
148. Q. Guo, B. Zhang, Q. Ran, L. Gao, J. Li, and A. Plaza. Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2351-2366, June 2014. [IF(2014)=3.026]
149. B. Zhang, Y. Liu, W. Zhang, L. Gao, J. Li, J. Wang, X. Li. Analysis of the Proportion of Surface Reflected Radiance in Mid-infrared Absorption Bands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.6, pp. 2639-2464, June 2014. [IF(2014)=3.026]
150. Y. Wu, L. Gao, B. Zhang, H. Zhao, and J. Li. Real-time implementation of optimized maximum noise fraction transform for feature extraction of hyperspectral images. Journal of Applied Remote Sensing, 8(1): 084797, 2014. [IF(2014)=1.183]
151. L. Gao, Q. Guo, A. Plaza, J. Li, and B. Zhang. Probabilistic anomaly detector for remotely sensed hyperspectral data. Journal of Applied Remote Sensing, 8(1): 083538, 2014. [IF(2014)=1.183]
152. L. Ni, L. Gao, S. Li, J. Li, and B. Zhang. Edge-constrained Markov random field classification by integrating hyperspectral image with LiDAR data over urban areas. Journal of Applied Remote Sensing, 8(1): 085089, 2014. [IF(2014)=1.183]
153. J. Li, J. M. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Classification Using Soft Sparse Multinomial Logistic Regression. IEEE Geoscience and Remote Sensing Letters, vol.10, no. 2, pp. 318-322, 2013. [IF(2013)=1.809]
154. J. Li, P. R. Marpu, A. Plaza, J. M. Bioucas-Dias and J. A. Benediktsson. Generalized Composite Kernel Framework for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4816-4829, 2013. [IF(2013)=2.933]
155. J. Li, J. M. Bioucas-Dias and A. Plaza. Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 844-856, 2013. [IF(2013)=2.933]
156. I. Dopido, J. Li, P. R. Marpu, A. Plaza, J. M. Bioucas-Dias and J. A. Benediktsson. Semi-Supervised Self-Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4032-4044, 2013. [IF(2013)=2.933]
157. J. Li, J. Bioucas-Dias and A. Plaza. Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields. IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 3, pp. 809-823, 2012. [IF(2012)=3.467]
158. J. Li, J. Bioucas-Dias and A. Plaza. Hyperspectral Image Segmentation Using a New Bayesian Approach with Active Learning. IEEE Transactions on Geoscience and Remote Sensing.vol.49, no.10, pp.3947-3960, Oct. 2011. [IF(2011)=2.895]
159. J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression with Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4085-4098, 2010. [IF(2010)=2.485]
160. J. Li, P. Li. Determination of the Optimal Wavelet Decomposition Level for Hyperspectral Imagery. Progress in Natural Science, Vol. 17, Number 11, pp, 1500-1508. Nov 2007 (in Chinese)
会议论文 (59篇):
1. Y. Li, J. Li, A. Plaza. A Noise Proof Strategy for Spatio-Temporal Fusion of Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Symposium (IGARSS'22), Kuala Lumpur, Malaysia, 2022.
2. L. Liang, S. Zhang, J. Li, Z. Cui. Hyperspectral Image Classification Via Double-Branch Multi-Scale Spectral-Spatial Convolution Network. IEEE Geoscience and Remote Sensing Symposium (IGARSS'22), Kuala Lumpur, Malaysia, 2022.
3. L. Liang, J. Li, S. Zhang. Hyperspectral Image Classification Method Based on Multi-scale Densenet and Bi-RNN Joint Network. IOP Conference Series: Earth and Environmental Science, 2021.
4. R. Cai, C. Liu, J. Li. Integrated Gabor-Based Decision Fusion for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'21), Brussels, Belgium, 2021.
5. Y. Li, J. Li, S. Zhang. An Extremely Fast Spatio-Temporal Fusion Method for Remotely Sensed Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'21), Brussels, Belgium, 2021.
6. Z. Liu, J. Li, J. Plaza, A. Plaza. Subspace Optimal Transport for Spatial Bias Correction of Social Media Data: A Case Study of 2013 Boulder Flood Event. IEEE Geoscience and Remote Sensing Symposium (IGARSS'21), Brussels, Belgium, 2021.
7. L. Yan, X. Hu, J. Li, Y. Zhang, C. Dou, J. Plaza, A. Plaza. Radiometric Calibration Of FENGYUN-3D MERSI-II Satellite: A Case Study In Lake Qinghai, China. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020.
8. Z. Zeng, Q. Shi, J. Plaza, A. Plaza, J. Li. Spatial Downscaling For Global Precipitation Measurement Using A Geographically And Temporally Weighted Regression Model. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020.
9. Z. Liu, J. Li, J. Plaza, A. Plaza. Spatial Bias Correction of Social Media Data by Exploiting Remote Sensing Knowledge in Data-Deficient Regions. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020.
10. C. Liu, J. Li, M. E. Paoletti, J. M. Haut, A. Plaza and Q. Shi. Accessibility-Free Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
11. X. Xu, J. Li, S. Li, M. E. Paoletti, J. M. Haut and A. Plaza. Blind Unmixing of Hyperspectral Imagery Based on Generalized Morphological Content Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
12. Y. Li, C. Liu, L. Yan, J. Li, A. Plaza and B. Li. A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
13. S. Zhang, C. Deng, J. Li, S. Wang, F. Li, C. Xu and A. Plaza. Superpixel-Guided Sparse Unmixing for Remotely Sensed Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
14. Y. Su, J. Li, H. Qi, P. Gamba, A. Plaza and J. Plaza. Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
15. Y. Su, J. Li, A. Plaza, A. Marinoni, P. Gamba and Y. Huang. Deep Auto-Encoder Network for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018.
16. X Xu, J. Li, Y Zhang, S Li. A Subpixel Spatial-Spectral Feature Mining for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018.
17. Y. Yu, W. Wei, J. Li, Y. Zhang. Urban Impervious Surface Estimation Based on the Integration of Remote Sensing Images and Social Media Data. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018.
18. Y. Liu, J. Bioucas-Dias, J. Li, A. Plaza. Hyperspectral Cloud Shadow Removal Based on Linear Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
19. S. Zhang, J. Li, J. Plaza, H-C. Li, A. Plaza. Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
20. Y. Liu, J. Bioucas-Dias, J. Li, A. Plaza. Multi-Superpixelization-based Convex Formulation for Joint Classification of Hyperspectral and Lidar Data. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
21. H. Liu, L. He, and J. Li. Remote Sensing Image Classification Based on Convolutional Neural Networks with Two-fold Sparse Regularization. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
22. Z. He, J. Li, L. Liu. Hyperspectral Classification Based on Kernel Low-rank Multitask Learning. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
23. Y. Su, A. Marinoni, J. Li, A. Plaza, and P. Gamba. Nonnegative Sparse Autoencoder for Robust Endmember Extraction from Remotely Sensed Hyperspectral Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
24. C. Zhu, S. Zhang, J. Plaza, J. Li, and A. Plaza. Impervious Surface Extraction from Multispectral Images Using Morphological Attribute Profiles and Spectral Mixture Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
25. S. Jia, H. Xie, L. Deng, Q. Huang and J. Li. Gabor Feature Based Support Vector Guided Dictionary Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
26. Y. Sun, J. Li, W. Wang, A. Plaza and Z. Chen. Active Learning Based Autoencoder for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
27. X. Xu, J. Li and A. Plaza. Fusion of LiDAR and Hyperspectral Data Using Morphological Component Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
28. M. Khodadadzadeh, L. Bruzzone, J. Li and A. Plaza. A Gaussian Approach to Subspace Based Classification of Hyperspectral Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
29. Y. Liu, F. Condessa, J. M. Bioucas-Dias, J. Li and A. Plaza. Convex Formulation for Hyperspectral Image Clasisification with Superpixels. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
30. S. Zhang, J. Li, Z. Wu and A. Plaza. Sparse Hyperspectral Unmixing with Spatial Discontinuity Preservation. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'16), Los Angeles, California, 2016.
31. Z. Wu, Q. Wang, A. Plaza, J. Li, J. Wei and Z. Wei. GPU Implementation of Hyperspectral Image Classification Based on Weighted Markov Random Fields. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'16), Los Angeles, California, 2016.
32. A. G. Flores, A. Paz, A. Plaza and J. Li. A New Tool for Unsupervised Classification of Satellite Images Available on Web Servers: Google Maps as a Case Study. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
33. Y. Sun, X. Zhang, A. Plaza, J. Li, I. Dopido and Y. Liu. A New Semi-Supervised Classification Strategy Combining Active Learning and Spectral Unmixing of Hyperspectral Data. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
34. Y. Liu, J. Li, A. Plaza, Y. Sun. A Multiple Criteria-Based Spectral Partitioning Method for Remotely Sensed Hyperspectral Image Classification. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
35. L. I. Jimenez, J. Plaza, A. Plaza and J. Li. Spatial-Spectral Preprocessing for Endmember Extraction on GPUs. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
36. M. Khodadadzadeh, J. Li, A. Plaza and J. M. Bioucas-Dias. Hyperspectral Image Classification Based on Union of Subspaces. Proceedings of the Joint Urban Remote Sensing Conference (URBAN'15), Lausanne, Switzerland, 2015.
37. A. Agathos, J. Li, J. M. Bioucas-Dias and A. Plaza. J. Li, J. M. Bioucas-Dias, A. Plaza and L. Liu. Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing (R-CoNMF). IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'15), Tokyo, Japan, 2015.
38. Y. Liu, J. Li and A. Plaza. Class-Oriented Spectral Partitioning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015.
39. M. Khodadadzadeh, A. Cuartero, J. Li and A. Plaza. Fusion of Hyperspectral and LiDAR Data Using Generalized Composite Kernels: A Case Study in Extremadura, Spain. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015.
40. Y. Li, Z. Wu, A. Plaza, J. Li, J. Wei, Z. Wei and J. Liu. Fast Principal Component Analysis for Hyperspectral Imaging Based on Cloud Computing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015.
41. A. Agathos, J. Li, J. M. Bioucas-Dias and A. Plaza. Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing. European Signal Processing Conference (EUSIPCO'14), Lisbon, Portugal, 2014. (8 citations in Google Scholar)
42. M. Khodadadzadeh, J. Li, A. Plaza, P. Gamba, J. A. Benediktsson and J. M. Bioucas-Dias. A New Framework for Hyperspectral Image Classification Using Multiple Spectral and Spatial Features. IEEE Geoscience and Remote Sensing Symposium (IGARSS'14), Quebec City, Canada, 2014. (7 citations in Google Scholar)
43. Y. Liu, J. Li, A. Plaza, J. M. Bioucas-Dias, P. G. Rodriguez and A. Cuartero. Spectral Partitioning for Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'14), Quebec City, Canada, 2014. (5 citations in Google Scholar)
44. J. Li, Y. Liu, A. Plaza and P. Du. Decision Fusion Based on Extended Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'14), Lausanne, Switzerland, 2014
45. M. Khodadadzadeh, J. Li A. Plaza, H. Ghassemian and J. M. Bioucas-Dias. Spectral-Spatial Classification for Hyperspectral Data Using SVM and Subspace MLR. IEEE Geoscience and Remote Sensing Symposium (IGARSS'13), Melbourne, Australia, 2013
46. B. Song, J. Li P. Li and A. Plaza. Decision Fusion Based on Extended Multi-Attribute Profiles for Hyperspectral Image Classification. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'13), Gainesville, Florida, 2013
47. I. Dopido, J. Li A. Plaza and P. Gamba. Semi-Supervised Classification of Urban Hyperspectral Data Using Spectral Unmixing Concepts. Proceedings of the Joint Urban Remote Sensing Conference (URBAN'13), Sao Paulo, Brazil, 2013
48. I. Dopido, J. Li, P. Gamba and A. Plaza. Semi-Supervised Classification of Hyperspectral Data Using Spectral Unmixing Concepts. Tyrrhenian Workshop 2012 on Advances in Radar and Remote Sensing, Naples, Italy, 2012. (6 citations in Google Scholar)
49. J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Discriminative Random Field for Hyperspectral Image Classification. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'12), Shanghai, China, 2012. (6 citations inGoogle Scholar)
50. I. Dopido, J. Li, J. Bioucas-Dias and A. Plaza. A New Semi-Supervised Approach for Hyperspectral Image Classification with Different Active Learning Strategies. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'12), Shanghai, China, 2012. (7 citations in Google Scholar)
51. J. Li, J. Bioucas-Dias and A. Plaza. Nonnegative Matrix Factorization with Collaborativity for Hyperspectral Unmixing. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'12), Shanghai, China, 2012.
52. J. Li, J. Bioucas-Dias and A. Plaza. Collaborative Nonnegative Matrix Factorization for Remotely Sensed Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'12), Munich, Germany, 2012. (11 citations in Google Scholar)
53. I. Dopido, J. Li, A. Plaza and J. Bioucas-Dias. Semi-Supervised Active Learning for Urban Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'12), Munich, Germany, 2012. (6 citations in Google Scholar)
54. I. Dopido, J. Li and A. Plaza. Semi-Supervised Active Learning Approach for Hyperspectral Image Classification: Application to Multinomial Logistic Regression and Support Vector Machines. SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2012.
55. J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Classification Using a New (Soft) Sparse Multinomial Logistic Regression Model. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'11), Lisbon, Portual, 2011.
56. A. Villa, J. Li, A. Plaza and J. Bioucas-Dias. A New Semi-Supervised Algorithm for Hyperspectral Image Classification Based on Spectral Unmixing Concepts. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'11), Lisbon, Portual, 2011.
57. J. Li, J. Bioucas-Dias and A. Plaza. A New Subspace Discriminant Analysis Approach for Supervised Hyperspectral Image Classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11), Vancouver, Canada, 2011.
58. J. Li, A. Plaza and J. Bioucas-Dias. Integration of Hyperspectral Image Classification and Unmixing for Active Learning. International Symposium on Image and Data Fusion, Tengchong, China, 2011.
59. J. Li, J. Bioucas-Dias, and Antonio Plaza. Supervised Hyperspectral image segmentation using active learning. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'10), Reykjavik, Iceland, 2010. (13 citations in Google Scholar)
60. J. Li, J. Bioucas-Dias and A. Plaza. Exploiting spatial information in semi-supervised hyperspectral image segmentation. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'10), Reykjavik, Iceland, 2010. (13 citations in Google Scholar)
61. J. Li, J. Bioucas-Dias, and Antonio Plaza. Semi-supervised hyperspectral image segmentation. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing (WHISPERS'09), Grenoble, France, 2009. (20 citations in Google Scholar)
62. J. Li, J. Bioucas-Dias, and Antonio Plaza. Semi-supervised hyperspectral classification and segmentation with discriminative learning. SPIE Europe Remote Sensing, Berlin Germany, 2009. (5 citations in Google Scholar)
63. J. Li, J. Bioucas-Dias, and Antonio Plaza. Semi-supervised hyperpsectral imge classification based on a Markov random field and sparse multinomial logistic regression. IEEE International Geoscience and Remote sensing Symposium (IGARSS'09), Cape Town, South Africa, 2009. (15 citations in Google Scholar)
64. J. Li, J. Bioucas-Dias, and Antonio Plaza. Hyperspectral image classification based on a fast Bregman sparse multinomial logistic regression algorithm. 6th EARSeL SIG IS Workshop'2009, Tel- Aviv, Israel, 2009.
65. J. Li, J. Bioucas-Dias. Minimum volume simplex analysis: a fast algorithm to unmix hyperspectral data. IEEE International Geoscience and Remote sensing Symposium (IGARSS'08), Boston, USA, 2008. (322 citations in Google Scholar) – One of the most highly cited papers in the history of IGARSS.
李军:寄情遥感
摘要：通过多波段来获得物体的有效信息,从而给物体一个定量划分,这是在肉眼无法判断时,高光谱遥感技术直接做出属性判断的原理.中山大学地理科学与规划学院教授李军认为,高光谱遥感技术的出现是遥感界一次质的飞跃,传统遥感中不可探测的物质可以通过高光谱来精确探测.
2016年 第6期 科学中国人
中国科技创新人物云平台暨“互联网+”科技创新人物开放共享平台（简称：中国科技创新人物云平台）免责声明：
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