个人简历

李杰,男,1989年生,武汉大学测绘学院,副教授。主要从事多源遥感图像智能化融合方面的研究工作,光学/SAR影像质量改善、多源多模态数据融合、深度学习、时空大数据挖掘和融合。在国内外共发表学术论文36篇,SCI论文22篇(中科院二区以上论文21)。二篇论文入选ESI高被引论文(前1%),论文总被引546次(Google Scholar),SCI他引345次,单篇最高被引135次。获得2019WHISPERS最佳论文奖,测绘科技进步一等奖(2017),出版学术专著2部。主持了国家自然科学基金面上项目、国家自然科学基金青年项目、湖北省自然科学基金面上项目、博士后特别资助与面上项目等,参与多项国家级/省部级项目。主讲了本科生课程《遥感原理与应用》、《定量遥感》、《云计算》。担任国家自然科学基金委员会通讯评议专家、近20个国际SCI期刊审稿人。

欢迎对高光谱/高分辨率遥感图像处理、深度学习、社交媒体大数据分析等方向感兴趣的研究生加盟!

电子邮件:jli89@sgg.whu.edu.cn

教育简历

2007/9-2011/6,武汉大学,遥感信息工程学院,摄影测量与遥感专业,获工学学士学位

2011/9-2016/6,武汉大学,测绘遥感信息工程国家重点实验室,摄影测量与遥感专业,获工学博士学位

工作经历

2016/07-2018/03,武汉大学,国际软件学院,讲师/博士后

2018/03-2019/06,武汉大学,测绘学院,讲师

2019/06-今,武汉大学,测绘学院,副教授

代表论文:

J. Li, Q. Yuan, H. Shen, and L. Zhang, “Noise Removal From Hyperspectral Image With Joint Spectral-Spatial Distributed Sparse Representation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 9, pp. 5425-5439, 2016.

J. Li, Q. Yuan, H. Shen, and L. Zhang, “Hyperspectral Image Recovery Employing a Multidimensional Nonlocal Total Variation Model,” Signal Processing, vol. 111, pp. 230-248, 2015

J. Li, Q. Yuan, H. Shen, X. Meng, and L. Zhang, “Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial-Spectral Group Sparsity,” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 9, pp. 1250-1254, 2016.

J. Li, X. Liu, Q. Yuan, H. Shen, and L. Zhang, “Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties,” IEEE Transactions on Geoscience and Remote Sensing, pp. 1-17, 2019.

H. Shen, C. Zhou, J. Li*, & Q. Yuan, “SAR Image Despeckling Employing a Recursive Deep CNN Prior,” IEEE Transactions on Geoscience and Remote Sensing, 2020.

H. Shen, L. Lin, J. Li*, Q. Yuan, and L. Zhao, “A residual convolutional neural network for polarimetric SAR image super-resolution,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 161, pp. 90-108, 2020.

M. Jiang, H. Shen, J. Li*, Q. Yuan, and L. Zhang, “A differential information residual convolutional neural network for pansharpening,”ISPRS Journal of Photogrammetry and Remote Sensing, vol. 163, pp. 257-271, 2020.

Y Yang, J. Li*, G. Zhu, X. Guan and W. Zhu, “The Impact of Multi-Dimensional Urbanization on PM2.5 Concentrations in 261 Cities of China,” IEEE Access, 2020

Q. Zhang, Q. Yuan, J. Li*, X. Liu, H. Shen, and L. Zhang, “Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 7317-7329, 2019

J. He, J. Li*, Q. Yuan, H. Li, and H. Shen, “Spatial–Spectral Fusion in Different Swath Widths by a Recurrent Expanding Residual Convolutional Neural Network,” Remote Sensing, 11(19): 2203, 2019.

H. Shen, M. Jiang, J. Li*, Q. Yuan, Y. Wei, and L. Zhang, “Spatial-Spectral Fusion by Combining Deep Learning and Variational Model,” IEEE Transactions on Geoscience and Remote Sensing, 57 (8), 6169-6181, 2019.

H. Fan, J. Li*, Q. Yuan*, X. Liu, M. Ng, Hyperspectral image denoising with bilinear low rank matrix factorization, Signal Processing, 163, 132-152, 2019

Y Yang, J. Li*, G. Zhu, Q. Yuan, “Spatio-temporal relationship and evolvement of socioeconomic factors and PM2. 5 in China during 1998-2016,” International Journal of Environmental Research and Public Health, 16 (7), 1149, 2019

Q. Yuan, Q. Zhang, J. Li*, H. Shen, L. Zhang, “Hyperspectral image denoising employing a spatial-spectral deep residual convolutional neural network,” IEEE Transactions on Geoscience and Remote Sensing 57 (2), 1205-1218, 2018

J. Li, H. Shen, Q. Yuan, L. Zhang, W. Gong. “Hyperspectral Image Denoising via Multidimensional Nonlocal Model,” the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, Florida, USA, 2013.

J. Li, C. Zeng, Q. Yuan, L. Zhang, H. Shen. “Hyperspectral Images Reconstruction Based Super-Pixel Mapping using Cross-Channel Sparse Model,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, Australia, 2013.

出版著作

沈焕锋, 袁强强, 李杰, 岳林蔚, 张良培. 遥感数据质量改善之信息复原. 科学出版社, 2018.

李爽, 李杰. 数字图像处理简明教程. 化学工业出版社, 2018.

主要科研项目

国家自然科学基金面上项目,模型驱动与数据驱动耦合的高时-空-谱融合方法研究,2020.1-2023.12,主持

国家自然科学基金青年基金项目,不同幅宽遥感影像的空-谱分辨率融合方法研究,2018.1-2020.12,主持

湖北省自然科学基金面上项目,基于时序协同学习的视频遥感影像超分融合技术研究,2018.1-2019.12,主持

中国博士后基金特别资助项目,时-空-谱协同表达的视频与高光谱遥感影像融合方法, 2018.1-2019.12,主持

中国博士后基金项目, 顾及信息聚类特征的遥感影像空-谱超分辨率重建方法研究,2016.11-2018.10,主持

高分辨率对地观测系统重大专项,高光谱图像目标识别,2019.12-2021.6,专题组长

高分辨率对地观测系统重大专项,光谱测绘处理,2018.1-2020.12,专题组长

国家重点研发计划,人-地耦合高精度全球土地利用变化模拟技术,2017.7-2022.6,专题组长