Education Experience: 2005.09--2009.06 Nanjing University of Science and Technology，Information and Computing Science， Bachelor 2009.09--2014.10 Nanjing University of Science and Technology，Pattern Recognition and Intelligent system，Ⴕ୔

项目：1. 国家自然科学基金面上项目，61971233,基于子空间低秩张量分解的高光谱图像压缩感知快照成像理论与方法， 2020.01-2023.12， 58万元，在研，主持2.国家自然科学额基金青年项目，61601236，多/高光谱图像融合分类的结构化低秩学习方法研究，2017/01-2019/12，22万元，已结题，主持3.江苏省自然科学基金青年项目，BK20150923，多源数据辅助的高光谱图像稀疏字典学习分类方法，2016/07-2018/06，20万元，已结题，主持4.国家自然科学基金面上项目，61471199，联合空谱上下文的高光谱遥感图像低秩表示分类理论与算法，2015/01-2018/12，80万元，已结题，参与5.国家自然科学基金青年项目，61301215，空谱联合相关性驱动的高光谱图像概率图修补模型与算法， 2014/01-2016/12，25万元，已结题，参与6.国家自然科学基金青年项目，61301217，基于Gini指数的高光谱图像空、谱相关稀疏性分析及压缩感知联合重建方法研究，2014/01-2016/12，24万元，已结题，参与7.国家自然科学基金青年项目，61101194，基于空谱联合稀疏性的高光谱解混理论与算法，2012/01-2014/12，25万元，已结题，参与8.江苏省自然科学基金，BK20110224，高光谱数据稀疏性特征挖掘和目标分类识别研究，2011/05-2014/05，10万元，已结题，参与 9.中国地质调查局航空高光谱成像系统集成与示范应用项目，1212011120227，机载高光谱数据辐射校正并行预处理技术研究及其野外试验数据验证，2011/01-2014/12，120万元，已结题，参与

第一作者文章：[1] Le Sun, Zebin Wu, Jianjun Liu, Liang Xiao, Zhihui Wei. Supervised Spectral-spatial Hyperspectral Image Classification with Weighted Markov Random Fields. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(3): 1490-1503. (SCI, IF:4.942)[2] Le Sun, Zebin Wu, Liang Xiao, Jianjun Liu, Zhihui Wei. A Novel L1/2 Sparse Regression Method for Hyperspectral Unmixin. International Journal of Remote Sensing, 2013, 34(20): 6983-7001. (SCI, IF:1.724)[3] Sun Le, Wu Zebin, Liu Jianjun and Wei Zhihui. A Novel Supervised Method for Hyperspectral Image Classification with Spectral-Spatial Constraints. Chinese Journal of Electronics, 2014, 23(CJE-1): 135-141.(SCIE, IF:0.513）[4] Le Sun, Zebin Wu, Zhihui Wei, Jiangjun Liu, Xingxiu Li. Supervised Hyperspectral Image Classification Combining Sparse Unmixing and Spatial Constraint. International Conference on Computer Vision in Remote Sensing (CVRS), Xiamen, 2012, pp. 110-115. (Best Student Paper Award, ISTP, EI)[5] Le Sun, Zebin Wu, Jianjun Liu, Zhihui Wei. Supervised Hyperspectral image Classification using Sparse Logistic Regression and Spatial-TV Regularization. International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013, pp.1019-1022. (EI）[6] 孙乐，吴泽彬，肖亮，刘建军，韦志辉.一种新的两分类器融合的空谱联合高光谱分类方法. 电子学报，2015，43(11)， pp.2210-2217. (EI)[7] 孙乐，吴泽彬，黄婷婷，刘建军，韦志辉. 大规模高光谱遥感图像处理及其在东天山矿物识别中的应用. Proceedings of 2010 International Conference on Remote Sensing (ICRS 2010) ，Hangzhou, 2010 pp.1-4。[8]Le Sun, Hiuk Jae Shim, Byeungwoo Jeon*, Yuhui Zheng, Yunjie Chen, Liang Xiao, Zhihui Wei. Hyperspectral Image Classification Using Multinomial Logistic Regression and Non-local Prior on Hidden Fields. International Conference on Progress in Informatics and Computing, Nanjing, P.R. China, 2015.12.18-12.20 (EI) [9] Le Sun, Byeungwoo Jeon*, Yuhui Zheng, Yunjie Chen, Hyperspectral Unmixing based on L1-L2 Sparsity and Total Varization. International Conference on Image Processing (ICIP2016), Pheonix, Arizona, U.S., Sep.25-28, 2016. (EI)[10] 陈允杰，葛魏东，孙乐*，一种基于协同稀疏和全变差的高光谱线性解混方法，自动化学报，2016. (EI)[11] Le Sun，Yuhui Zheng，and Byeungwoo Jeon. Hyperspectral Restoration Employing Low Rank and 3D Total Variation Regularization. IEEE International Conference on Progress in Informatics and Computing, Dec. 22-25, Shanghai, China, 2016. (EI)[12]Le Sun, Byeungwoo Jeon, Yuhui Zheng, and Zebin Wu. Homogeneous Region based Low Rank Representation in Hidden Field for Hyperspectral Classification. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul. 23-28, Fort Worth, Texas, USA, 2017. (EI)[13] Le Sun, Byeungwoo Jeon, Yuhui Zheng, Zebin Wu. Hyperspectral Image Restoration by Using Low Rank Representation on Sspectral Difference Image. IEEE Geoscience and Remote Sensing Letters, 2017, 14(7):1115-1155. (SCI, IF:2.761) [14] Le Sun, Byeungwoo Jeon. A Novel Subspace Spatial-spectral Low Rank Learning Method for Hyperspectral Denoising. IEEE Visual Communication and Image Processing, Dec. 10-13, St. Petersburg, Florida, USA, 2017. (EI)[15] Le Sun, Shunfeng Wang, Jin Wang, Yuhui Zheng, Byeungwoo Jeon. Hyperspectral classification employing spatial–spectral low rank representation in hidden fields. Journal of Ambient Intelligence and humanized Computing, pp. 1-12,2017. Doi: 10.1007/s12652-017-0586-1 (SCIE, IF:1.588)[16] Le Sun, Byeungwoo Jeon, Yuhui Zheng, Zebin Wu. A novel weighted cross total variation method for hyperspectral image mixed denoising. IEEE Access, pp. 1-17, 2017. Doi: 10.1109/ACCESS.2017.2768580 (SCI, IF:3.244) [17] Le Sun， Byeungwoo Jeon, Yuhui Zheng, Hyperspectral Restoration based on Total Variation Regularized Low Rank Decomposition in Spectral Difference Space，International Workshop on Advanced Image Technology 2018 (IWAIT 2018), IEEE, Chiangmai, Thailand, 2018.01. 07-01.09[18] Le Sun，Byeungwoo Jeon(*), Bushra Naz Soomro, Yuhui Zheng, Zebin Wu，Liang Xiao，Fast Superpixel based Subspace Low Rank Learning Method for Hyperspectral Denoising，IEEE Access，2018, doi: 10.1109/ACCESS.2018.2808474[19] Le Sun, Tianming Zhan, Zebin Wu, Byeungwoo Jeon.A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising. ISPRS International Journal of Geoinformation, 2018, 7(10):412.[20] Le Sun, Tianming Zhan, Zebin Wu, Liang Xiao, Byeungwoo Jeon. Hyperspectral Mixed Denoising via Spectral Difference-induced Total Variation and Low-rank Approximation. Remote Sensing, 2018.[21] Le Sun, Weidong Ge, Yunjie Chen, Jianwei Zhang, Byeungwoo Jeon. Hyperspectral unmixing empoying L1-L2 sparsity and total variation. International Journal of Remote Sensing, 2018, 39(19):6037-6060[22]Le Sun, Chenyang Ma, Yunjie Chen, Hiuk Jae Shim, Zebin Wu and Byeungwoo Jeon.Adjacent Superpixel-Based Multiscale Spatial-Spectral Kernel for Hyperspectral Classification, IEEE JSTARS, 2019, 12(6):1905-1919.[23]Qian Liu ; Zebin Wu ; Le Sun ; Yang Xu ; Lu Du ; Zhihui Wei.Kernel Low-Rank Representation Based on Local Similarity for Hyperspectral Image Classification, IEEE JSTARS, 2019.[24]Sun Le;Ma Chenyang; Chen Yunjie; Zheng Yuhui*;Shim Hiuk Jae; Wu Zebin; Jeon Byeungwoo; Low rank componentinduced spatial-spectral kernel method for hyperspectral image classification, IEEE Transactions on Circuits and Systemsfor Video Technology, online, DOI:10.1109/TCSVT.2019.2946723, 2019.[25]Sun Le; Wu Feiyang; Tianming Zhan*; Liu Wei; Wang Jin; Jeon Byeungwoo; Weighted nonlocal low-rank tensor decomposition method for sparse unmixing of hyperspectral images,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, online, DOI:10.1109/JSTARS.2020.2980576, 2020.

1] 孙乐，吴泽彬，韦志辉. 软件著作权，机载高光谱数据大气辐射校正预处理软件，简称【AHARC】，登记号：2014SR013125. [2] 刘建军，吴泽彬，孙乐，韦志辉. 软件著作权，机载高光谱数据边缘辐射校正预处理软件，简称【AHERC】，登记号：2012SR066151. [3] 吴泽彬，韦志辉，刘建军，孙乐. 软件著作权，矿产资源高光谱遥感探测数据处理软件，登记号：2011R11S00066151. [4] 宋义刚，吴泽彬，韦志辉，孙乐，刘建军. 国家发明专利，基于增强约束稀疏回归的半监督高光谱亚像元目标检测法，登记号：201110443968.8.