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李伟

 

  

  

  李  伟                                                       电话:010-68918217

 

  教授、博士生导师、副院长                       邮箱:liw@bit.edu.cn (leewei36@gmail.com)

 

  北京理工大学信息与电子学院                   地址:北京理工大学信息科学实验楼508东

 

基本情况:

 

李伟,北京理工大学信息与电子学院教授、博士生导师、副院长,国家优秀青年科学基金、北京市杰出青年科学基金获得者, 入选北京市科技新星计划。主要从事高光谱图像处理、目标检测与识别等领域的研究,以第一/通讯作者在IEEE TGRS、IEEE TIP、IEEE TNNLS等期刊发表论文80余篇,谷歌学术引用10000余次。现担任IEEE TGRS编委,曾担任IEEE JSTARS、IEEE SPL编委,和第11届IEEE CISP-BMEI大会主席。曾获中国图象图形学学会自然科学奖二等奖、IEEE TGRS和IEEE JSTARS最佳审稿人奖、IEEE Whispers杰出论文奖等奖项,并入选2020、2021年爱思唯尔中国高被引学者榜单。

 

 

科研项目:

 

北京市自然科学基金杰出青年科学基金项目,“高光谱图像处理与应用研究”,项目号JQ20021,负责人,2020.10—2023.12

国家自然科学基金优秀青年科学基金项目,“高光谱图像分类”,项目号61922013,负责人,2020.01—2022.12

国家自然科学基金重大研究计划项目,“空间信息网络下的高光谱遥感协同观测理论与方法研究”,项目号91638201,课题负责人,2017.01—2020.12

北京市科技新星计划项目,“用于重大疾病精准诊断的高光谱显微图像细胞检测关键技术研究”,项目号Z171100001117050,负责人,2017.01—2019.12

北京市自然科学基金面上项目,“基于稀疏表示的医学高光谱图像细胞识别关键技术研究”,项目号4172043,负责人,2017.01—2019.12

国家自然科学基金面上项目,“表示模型框架下高光谱遥感影像分类若干技术研究”,项目号61571033,负责人,2016.01—2019.12

国家自然科学基金青年基金项目,“基于最近正则子空间模型的高光谱遥感图像分类及异常检测研究”,项目号61302164,负责人,2014.01—2016.12

 

  

部分论文:


[40] M. Zhang, W. Li*, Y. Zhang, R. Tao, and Q. Du,“Hyperspectral and LiDAR Data Classification Based on Structural Optimization Transmission,”IEEE Transactions on Cybernetics, in print, 2022.

[39] W. Li, Y. Gao, M. Zhang, R. Tao, and Q. Du,“Asymmetric Feature Fusion Network for Hyperspectral and SAR Image Classification,”IEEE Transactions on Neural Network and Learning Systems, in print, 2022.

[38] Y. Zhang, W. Li*, M. Zhang, S. Wang, R. Tao, and Q. Du,“Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification,”IEEE Transactions on Neural Network and Learning Systems, in print, 2022.

[37] J. Wang, W. Li*, Y. Gao, M. Zhang, R. Tao, and Q. Du,“Hyperspectral and SAR Image Classification via Multiscale Interactive Fusion Network,”IEEE Transactions on Neural Network and Learning Systems, in print, 2022.

[36] H. Liu, W. Li*, X. Xia, M. Zhang, C. Gao, and R. Tao,“Central Attention Network for Hyperspectral Imagery Classification,”IEEE Transactions on Neural Network and Learning Systems, in print, 2022.

[35] Y. Zhang, W. Li*, M. Zhang, Y. Qu, R. Tao, and H. Qi,“Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification,”IEEE Transactions on Neural Network and Learning Systems, in print, 2022. [Demo code]

[34] J. Liu, Z. Hou, W. Li*, R. Tao, D. Orlando, and H. Li,“Multi-Pixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery,”IEEE Transactions on Neural Network and Learning Systems, in print, 2022. [Matlab code]

[29] Y. Gui, W. Li*, X. Xia, R. Tao, and A. Yue,“Infrared Attention Network for Woodland Segmentation Using Multispectral Satellite Images,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, Art no. 5627214, 2022. [Demo code]

[32] C. Gao, W. Li*, R. Tao, and Q. Du,“MS-HLMO: Multi-Scale Histogram of Local Main Orientation for Remote Sensing Image Registration,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, Art no. 5626714, 2022. [Demo code]

[31] Z. Huang, W. Li*, X. Xia, H. Wang, F. Jie, and R. Tao,“LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, Art no. 5603515, 2022. [Demo code]

[30] Z. Huang, W. Li*, X. Xia, X. Wu, Z. Cai, and R. Tao,“A Novel Nonlocal-Aware Pyramid and Multi-Scale Multi-Task Refinement Detector for Object Detection in Remote Sensing Images,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-20, Art no. 5601920, 2022. [Demo code]

[29] N. Liu, W. Li*, R. Tao, Q. Du, and J. Chanussot,“Multi-Graph based Low-Rank Tensor Approximation for Hyperspectral Image Restoration,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, Art no. 5530314, 2022. [Demo code]

[28] W. Li, J. Wang, Y. Gao, M. Zhang, R. Tao, and B. Zhang,“Graph-Feature-Enhanced Selective Assignment Network for Hyperspectral and Multispectral Data Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, Art no. 5526914, 2022.

[27] Y. Gao, W. Li*, M. Zhang, J. Wang, W. Sun, R. Tao, and Q. Du,“Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, Art no. 5512615, 2022. [Demo code]

[26] Z. Hou, W. Li*, L. Li, R. Tao, and Q. Du,“Hyperspectral Change Detection Based on Multiple Morphological Profiles,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, Art no. 5507312, 2022.

[25] M. Zhao, W. Li*, L. Li, P. Ma, Z. Cai, and R. Tao,“Three-Order Tensor Creation and Tucker Decomposition for Infrared Small-Target Detection,”IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, Art no. 5000216, 2022.

[24] N. Wang, W. Li*, R. Tao, and Q. Du,“Graph-based Block-level Urban Change Detection Using Sentinel-2 Time Series,”Remote Sensing of Environment, vol. 274, pp. 1-23, Art no. 112993, June 2022.

[23] L. Li, W. Li*, C. Zhao, Y. Du, R. Tao, and Q. Du,“Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery,”IEEE Transactions on Neural Network and Learning Systems, vol. 33, no. 3, pp. 1037-1050, March 2022. [Matlab code]

[22] Z. Huang, W. Li*, X. Xia, and R. Tao,“A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection,”IEEE Transactions on Image Processing, vol. 31, pp. 1895-1910, February 2022. [Demo code]

[21] Y. Zhang, W. Li*, R. Tao, J. Peng, Q. Du, and Z. Cai,“Cross-Scene Hyperspectral Image Classification with Discriminative Cooperative Alignment,”IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 11, pp. 9646-9660, November 2021. [Matlab code]

[20] N. Liu, L. Li, W. Li*, R. Tao, J. E. Fowler, and J. Chanussot,“Hyperspectral Restoration and Fusion with Multispectral Imagery via Low-Rank Tensor Approximation,”IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7817-7830, September 2021. [Matlab code]

[19] L. Li, W. Li*, Q. Du, and R. Tao,“Low-Rank and Sparse Decomposition with Mixture-of-Gaussian for Hyperspectral Anomaly Detection,”IEEE Transactions on Cybernetics, vol. 51, no. 9, pp. 4363-4372, September 2021. [Matlab code]

[18] M. Zhao, L. Li, W. Li*, R. Tao, L. Li, and W. Zhang,“Infrared Small-Target Detection Based on Multiple Morphological Profiles,”IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 7, pp. 6077-6091, July 2021.

[17] X. Wu, W. Li*, D. Hong, J. Tian, R. Tao, and Q. Du,“Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network,”ISPRS Journal of Photogrammetry and Remote Sensing, vol. 167, pp. 39-53, September 2020.

[16] Y. Zhang, W. Li*, H. Li, R. Tao, and Q. Du,“Discriminative Marginalized Least Squares Regression for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3148-3161, May 2020. [Matlab code]

[15] M. Zhang, W. Li*, Q. Du, L. Gao, and B. Zhang,“Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN,”IEEE Transactions on Cybernetics, vol. 50, no. 1, pp. 100-111, January 2020. 

[14] N. Liu, W. Li*, R. Tao, and J. E. Fowler,“Wavelet-Domain Low-Rank/Group-Sparse Destriping for Hyperspectral Imagery,”IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 10310-10321, December 2019. [Matlab code]

[13] W. Li, Y. Zhang, N. Liu, Q. Du, and R. Tao,“Structure-Aware Collaborative Representation for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, pp. 7246-7261, September 2019. [Matlab code] 

[12] M. Zhang, W. Li*, and Q. Du, “Diverse Region-Based CNN for Hyperspectral Image Classification,”IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2623-2634, June 2018. [Demo code]

[11] X. Xu, W. Li*, Q. Ran, Q. Du, L. Gao, and B. Zhang, “Multisource Remote Sensing Data Classification Based on Convolutional Neural Network,”IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, pp. 937-949, February 2018. [Demo code

[10] W. Li, G. Wu, F. Zhang, and Q. Du, “Hyperspectral Image Classification Using Deep Pixel-Pair Features,”IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 2, pp. 844-853, February 2017. [Matlab code

[9] W. Li and Q. Du, “Laplacian Regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery,”IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 12, pp. 7066-7076, December 2016.

[8] W. Li, J. Liu, and Q. Du, “Sparse and Low Rank Graph Discriminant Analysis for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 7, pp. 4094-4105, July 2016. [Matlab code]

[7] W. Li, Q. Du, and B. Zhang, “Combined Sparse and Collaborative Representation for Hyperspectral Target Detection,”Pattern Recognition, vol. 48, no. 12, pp. 3904-3916, December 2015. [Matlab code]

[6] W. Li, C. Chen, H. Su, and Q. Du, “Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 7, pp. 3681-3693, July 2015. [Matlab code

[5] W. Li and Q. Du, “Collaborative Representation for Hyperspectral Anomaly Detection,”IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1463-1474, March 2015. [Matlab code

[4] W. Li, S. Prasad, and J. E. Fowler, “Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3399-3411, June 2014. [Matlab code]

[3] W. Li, E. W. Tramel, S. Prasad, and J. E. Fowler, “Nearest Regularized Subspace for Hyperspectral Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 477-489, January 2014. [Matlab code

[2] W. Li, S. Prasad, and J. E. Fowler, “Classification and Reconstruction from Random Projections for Hyperspectral Imagery,”IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 833-843, February 2013. [Matlab code]

[1] W. Li, S. Prasad, J. E. Fowler, and L. Bruce, “Locality Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis,”IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 4, pp. 1185-1198, April 2012. [Matlab code

 

 

社会兼职:


[7] 2021年6月至今,担任IEEE Transactions on Geoscience and Remote Sensing编委

[6] 2021年1月至今,担任《北京理工大学学报英文版》编委

[5] 2020年12月至今,担任《中国图象图形学报》青年编委

[4] 2020年6月至2021年5月,担任IEEE Transactions on Geoscience and Remote Sensing领域编委

[3] 2019年3月至2021年5月,担任IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing编委

[2] 2018年1月至2021年12月,担任IEEE Signal Processing Letters编委

[1] 2018年10月,担任第11届IEEE CISP-BMEI国际学术会议大会主席

 

 

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