李军

个人简介

李军，教授、博士生导师。2007年毕业于北京大学遥感所，获硕士学位；2011年于葡萄牙里斯本技术大学获得博士学位；2011-2013于西班牙埃斯特雷马杜拉大学从事博士后研究；2013年入选中组部青年海外高水平学者，加入中山大学，任教授和博士生导师。

研究方向与成果概述：

主要研究方向为遥感图像处理、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。在地球科学与遥感领域期刊和会议上发表论文70多篇，其中SCI论文50多篇、8篇被收录为ESI高被引论文（1篇连续5年高被引），主要成果发表在Proceedings of the IEEE、Remote Sensing of Environment、IEEE Transactions on Geoscience and Remote Sensing、IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing和Journal of Applied Remote Sensing等刊物上。李军博士为现任IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing的副编辑（Associate Editor），Proceedings of the IEEE特邀编辑(Guest Editor)、ISPRS Journal of Photogrammetry and Remote Sensing特邀编辑(Guest Editor)。李军博士为SPIE Europe HPC Confernece大会的联合主席，同时为多个会议和组织的委员，包括全国成像光谱对地观测学术研讨会学术委员会、中国生态学学会生态遥感专业委员会、International Conference on Geographical Information Systems Theory, Applications and Management等。

学历背景

·2007.92011.6电气与计算机工程,University of Lisbon，博士

·2004.92007.6摄影测量与遥感，北京大学，硕士

·2000.92004.6地理信息系统，湖南师范大学，本科

工作经历

·2014.01中山大学教授，博士生导师

·2011.062013.12西班牙UniversityofExtremadura，博士后

部分论著专利

1. 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(2018)=5.630]

2. 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(2018)=5.630]

3. 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(2018)=3.392]

4. 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,      accepted for publication, 2019. [IF(2018)=3.534]

5. 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(2018)=3.534]

6. 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]

7. 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]

8. 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]

9. 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]

10. 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]