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个人简介

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,Ms & Ph.D, Supervisor:Zhihui Wei (韦志辉) Work Experience: 2015. 09 -- Current Sungkyunkwan University, School of Electronic and Electrical Engineering, Post-doctor, Supervisor: Byeungwoo Jeon 2014.12 -- Current Nanjing University of Information Science and Technology,School of Computer and Software,Lecturer

研究领域

My research interests cover image processing especially for hyperspectral imagery, including unmixing, restoration, classification, fusion, target detection etc.

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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 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 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. 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. 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 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. 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.

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