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 -- 2018.08  Sungkyunkwan University, School of Electronic and Electrical  Engineering, Post-doctor, Supervisor: Byeungwoo Jeon

2014.12 -- 2019.01 Nanjing University of Information Science and Technology，School of Computer and Software，Lecturer

2019.01-- now  Nanjing University of Information Science and Technology，School of Computer and Software，Asssociate Professor

Reviewer of 《Knowledge-Based Systems》，《IEEE Transaction on Geoscience and Remote Sensing》,《IEEE Geoscience and Remote Sensing Letters》,《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 》,《IEEE Transactions on Cybernetics》,《IEEE Transactions on Circuits and Systems for Video Technology》,《IEEE Transactions on Neural Network and Learning System》

Research Fields：

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

Email：sunlecncom@163.com

Publications：

[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 Journal of Selected Topics in Applied Earth Obsevations and Remote Sensing, vol. 12, no. 6, pp. 1920-1932, 2019.

[24] Sun Le; Ma Chenyang; Chen Yunjie; Zheng Yuhui*;Shim Hiuk Jae; Wu Zebin; Jeon Byeungwoo; Low rank component induced spatial-spectral kernel method for hyperspectral image classification, IEEE Transactions on Circuits and Systems for Video Technology, 30(10): 3829 - 3842, 2020.  DOI:10.1109/TCSVT.2019.2946723.

[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, vol. 13, pp 1174-1188, 2020.

[26] Jinwei Wang, Xiaongbo Song, Le Sun*, et al., A novel cubic convolutional Neural Network for hyperspectral image classification, IEEE Journal of Selected Topics in Applied Earth Obsevations and Remote Sensing, vol. 13, pp. 4133-4148, 2020, DOI:10.1109/JSTARS.2020.3008949

[27] Zhenyu Lu, Bin Xu, Le Sun*, et al, 3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Obsevations and Remote Sensing, vol. 13, pp. 4311-4324, 2020. Doi: 10.1109/JSTARS.2020.3011992

[28] Le Sun, Feiyang Wu, Chengxun He, et al., Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations with Superpixel Segmentation for Hyperspectral Unmixing, IEEE Geoscience and Remote Sensing Letters, 2020. Doi:10.1109/LGRS.2020.3019427.

[29] Le Sun, Chengxun He, Yuhui Zheng, Songze Tang. SLRL4D: Joint Restoration of Subspace Low-Rank Learning and Non-local 4-D Transform Filtering for Hyperspectral Image, Remote Sensing, 12(18), 2979, 2020.

[30] Chengxun He, Le Sun*, Wei Huang, Jianwei Zhang, Yuhui Zheng, Byeungwoo Jeon. TSLRLN: Tensor Subspace Low-Rank Learning with Non-local Prior for Hyperspectral Image Mixed Denoising. Signal Processing, 2021. Online, doi: 10.1016/j.sigpro.2021.108060.