孙乐
141

个人信息Personal Information

教授 硕士生导师

教师拼音名称:sunle

电子邮箱: 002631@nuist.edu.cn

所在单位:计算机学院、网络空间安全学院(数字取证教育部工程研究中心、公共计算机教学部)

办公地点:Room 1604, New Technology Building (新科技大楼1604房间)

性别:男

职称:教授

毕业院校:Nanjing University of Science and Technology

硕士生导师

其他联系方式Other Contact Information

邮编 : 210044

通讯/办公地址 : Ningliu Road 219

邮箱 : sunlecncom@163.com

个人简介Personal Profile

学习与工作经历:

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-- 2023.07 Nanjing University of Information Science and Technology,School of Computer and Software,Asssociate Professor

2022.03-2023.02  National Natural Science Foudation of China (NSFC), Information Center, Partime-worker

2023.08-- Current  Nanjing University of Information Science and Technology,School of Computer Science,Full Professor

社会兼职:

Associate Editor of IEEE GRSL, Guest Editor of Remote Sening Special issues.

Reviewer of 《IEEE Transactions on Image Processing》、《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 areas: My research interests cover computer vision, image (signal) processing, pattern recognition and so on. This mainly includes (1) Remote sensing information processing: hyperspectral remote sensing image unmixing, classification, restoration, fusion, target detection; saliency detection, semantic segmentation, target recognition (weak target tracking and recognition) for high-resolution remote sensing images; (2) Point cloud data processing: 3D point cloud data reconstruction, 3D scene rendering; (3) Smart networks: traffic prediction, intelligent communication network design; (4) Intelligent meteorology: rainfall forecasting, time series prediction for meteorology.


研究领域:计算机视觉、图像(信号)处理、模式识别等。主要包括(1)遥感信息处理:高光谱遥感图像解混、分类、恢复、融合、目标检测;高分辨率遥感图像显著性检测、语义分割、目标识别(弱目标跟踪和识别)等;(2)点云数据处理:三维点云数据重构、三维场景渲染;(3)智能网络:流量预测、智能通讯网络结构设计;(4)智慧气象:降雨预报、气象时序序列预测。


欢迎感兴趣的研究生加入课题组,要求:对科研感兴趣,具有扎实的数学功底、编程能力出色(Matlab,Python, C或C++)、有较好的主动学习能力、英语六级及以上。课题组提供较好的科研和办公环境、为其提供继续深造的机会,有纵向科研课题以及军工类应用型课题供学生选择。

联系邮箱:sunlecncom@163.com

科研成果:

项目:

0.国家自然科学基金面上项目,62471239,  基于深度张量Transformer网络的高光谱双路压缩成像重建方法研究, 2025.01-2028.12, 50万元,在研,主持

1.国家自然科学基金联合重点项目,623B2006,基于边缘智能计算的盲先验海面目标探测识别理论与方法,2024.01-2027.12,在研,课题负责人

2.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,结题,主持

3.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,结题,主持
4.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,结题,主持

5.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,结题,参与

6.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

7.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

8.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

9.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

10.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

第一作者以及通讯作者文章

最新成果见google scholar主页:https://scholar.google.com.hk/citations?hl=zh-CN&user=9_pbp3kAAAAJ&view_op=list_works&sortby=pubdate

[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.  (高被引论文

[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.  (高被引论文  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. (ESI高被引论文

[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.

[31] Le Sun, Qihao Cheng, et al. Hyperspectral Image Super-Resolution Method Based on Spectral Smoothing Prior and Tensor Tubal Row-Sparse Representation, Remote Sensing, 2022, 14 (9), 2142.

[32] Le Sun, Bin Xu, Zhenyu Lu. Hyperspectral Image Classification Based on A Multi-Scale Weighted Kernel Network, Chinese Journal of Electronics, 2022, 31 (5), 832-843.

[33] Le Sun, Shiwei Cheng, Yuhui Zheng, Zebin Wu, Jianwei Zhang. SPANet: Successive pooling attention network for semantic segmentation of remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 4045 – 4057.

[34] Le Sun, Guangrui Zhao, Yuhui Zheng, Zebin Wu. Spectral–spatial feature tokenization Transformer for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14. (SCI, IF: 8.125, 一区top期刊, 热点论文,高被引论文)

[35] Le Sun, Yu Fang, Yuwen Chen, Wei Huang, Zebin Wu, Byeungwoo Jeon. Multi-structure KELM with attention fusion strategy for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-17. (SCI, IF:8.125, 一区top期刊)

[36] Le Sun, Chengxun He, Yuhui Zheng, Zebin Wu, Beungwoo Jeon. Tensor cascaded-rank minimization in subspace: A unified regime for hyperspectral image low-level vision. IEEE Transactions on Image Processing, 2023, 23:100-115. (SCI, IF:11.041, CCF A一区 top期刊)

[37] Guangrui Zhao, Qiaolin Ye, Le Sun* (通讯作者), Zebin Wu, Chengsheng Pan, Beungwoo Jeon. Joint classification of hyperspectral and LiDAR data using a hierarchical CNN and Transformer. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-16. (SCI, IF:8.125, 一区top期刊 , ESI高被引论文)

[38] Le Sun, Qiujie Cao, Yuwen Chen, Yuhui Zheng, Zebin Wu. Mixed Noise Removal for Hyperspectral Images based on Global Tensor Low-Rankness and Non-Local SVD-aided Group Sparsity [J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-17. Article No. 5506617. Doi: 10.1109/TGRS.2023.3257851. (SCI, IF:8.125, 一区top期刊)

[39] Hao Xiang, Baozhu Li, Le Sun, Yuhui Zheng, Zebin Wu, Jianwei Zhang, Byeungwoo Jeon. Hyperspectral compressive image reconstruction with deep Tucker decomposition and spatial–spectral learning network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 725 – 737.

[40] Le Sun, Qing Wang, Yuwen Chen, et al. CRNet: Channel-enhanced Remodeling-based Network for Salient Object Detection in Optical Remote Sensing Images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-16. Article No. 5618314. (SCI, IF:8.125, 一区top期刊)

[41] Yu Fang, Qiaolin Ye, Le Sun* (通讯作者), et al. Multi-Attention Joint Convolution Feature Representation with Lightweight Transformer for Hyperspectral Image Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-16. Article No. 5513814. (SCI, IF:8.125, 一区top期刊)

[42] Le Sun, Xinyu Wang, Yuhui Zheng, et al. Multiscale 3-D–2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1-16. Article No. 2100116. (SCI, IF:8.125, 一区top期刊)

[43] Le Sun, Hang Zhang, Yuhui Zheng, et al. MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1-15. Article No. 5516415. (SCI, IF:8.125, 一区top期刊)

[44] Le Sun, Jianxiao Zhou, et al. MDC-FusFormer: Multiscale Deep Cross-Fusion Transformer Network for Hyperspectral and Multispectral Image Fusion [J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1-17. Doi: 10.1109/TGRS.2024.3451551. (SCI, IF:8.125, 一区top期刊)


荣誉奖励:

[1] 江苏省科学技术奖二等奖,基于空谱联合结构化特征的高光谱图像分析方法与应用技术,排名 6,2019.

[2] 江苏省高等学校科学技术研究成果奖一等奖,排名2, 2023.

其他学术成就:

[0] 詹天明, 孙乐. 基于子空间核范数正则化回归模型的高光谱图像分类方法. 发明专利,申请号: 201811302039.3.

[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.


研究生成果

[1] 研究生国家奖学金:何承迅(19级),房雨(21级)

[2] 江苏省研究生创新实践项目:何承迅(19级),房雨(21级),王心宇(22级)

[3] 刘洪鑫、马西韩、王心宇, 2023年第五届全球校园人工智能算法精英大赛,全国一等奖。

[4] 王心宇、刘洪鑫、马西韩、赵广瑞、王青,第二届全国仿真创新应用大赛,全国三等奖。

  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 计算机视觉,图像处理(遥感图像分析:解混、分类、融合),多维信号处理