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ORCIDJie Li 0022
Person information
- affiliation: Wuhan University, School of Geodesy and Geomatics, LIEMARS, China
Other persons with the same name
- Jie Li — disambiguation page
- Jie Li 0001
![[0000-0001-7950-4233]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7950-4233")
— Xidian University, School of Electronic Engineering, Xi'an, China - Jie Li 0002 — Zhengzhou University, School of Cyber Science and Engineering, China (and 2 more)
- Jie Li 0003 — University of Virginia, Charlottesville, VA, USA
- Jie Li 0004 — Stevens Institute of Technology, Hoboken, NJ, USA
- Jie Li 0005 — City University of New York, NY, USA
- Jie Li 0006 — Tianjin University, School of Computer Software, China
- Jie Li 0007 — University of Melbourne, Centre for Energy Efficient Telecommunication, VIC, Australia (and 1 more)
- Jie Li 0008 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Jie Li 0009 — East China Jiaotong University, School of Electrical and Automation Engineering, Nanchang, China
- Jie Li 0010 — Michigan State University, East Lansing, MI, USA
- Jie Li 0011 — National University of Defense Technology, College of Mechatronics Engineering and Automation, Changsha, China
- Jie Li 0012 — Peking University, Key Laboratory of Machine Perception (MOE) / Department of Machine Intelligence, Beijing, China
- Jie Li 0013 — Clarkson University, ECE Department, Potsdam, NY, USA (and 1 more)
- Jie Li 0014 — Drexel University, Department of Computer Science, Philadelphia, PA, USA
- Jie Li 0015 — Hefei University of Technology, School of Computer and Information, China (and 1 more)
- Jie Li 0016 — Tongji University, Department of Computer Science, Laboratory of Cognition and Intelligent Computing, Shanghai, China
- Jie Li 0017 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
- Jie Li 0018 — Hangzhou Dianzi University, Information Engineering School, China
- Jie Li 0019 — Huawei Technologies, Hong Kong (and 3 more)
- Jie Li 0020 — North China University of Science and Technology, Key Laboratory of Engineering Computing / MOE Key Laboratory with Modern Metallurgical Technology, Tangshan, China
- Jie Li 0021 — Teesside University, School of Computing, Engineering and Digital Technologies, Middlesbrough, UK (and 1 more)
- Jie Li 0023 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Jie Li 0024 — University of Rhode Island, Department of Electrical, Computer, and Biomedical Engineering, Kingston, RI, USA (and 2 more)
- Jie Li 0025 — North University of China, School of Materials Science and Engineering, Taiyuan, China
- Jie Li 0026 — Hokkaido University, Nexus Group, Sapporo, Japan
- Jie Li 0027 — Xidian University, Key Laboratory of Radar Signal Processing, Xi'an, China
- Jie Li 0028 — Chongqing University, China (and 1 more)
- Jie Li 0029 — Dalian University of Technology, School of Software, China (and 1 more)
- Jie Li 0030 — Harbin Institute of Technology, Microelectronics Center, China
- Jie Li 0031 — Toyota Research Institute (TRI)
- Jie Li 0032 — Kwai, Beijing, China (and 1 more)
- Jie Li 0033 — Capital University of Economics and Business, School of Safety and Environmental Engineering, Beijing, China (and 1 more)
- Jie Li 0034 — Missouri University of Science and Technology, Mechanical and Aerospace Engineering Department, Rolla, MO, USA
- Jie Li 0035 — Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, CAS Key Laboratory of Computational Biology, China
- Jie Li 0036 — North University of China, Key Laboratory of Instrumentation Science & Dynamic Measurement / China National Key Laboratory for Electronic Measurement Technology, Taiyuan, China (and 1 more)
- Jie Li 0037 — Xi'an Jiaotong University, School of Electrical Engineering, China
- Jie Li 0038 — Huazhong University of Science and Technology, School of Hydropower and Information Engineering / Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan, China
- Jie Li 0039 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Jie Li 0040 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Jie Li 0041 — National University of Defense Technology, School of Computer, Changsha, China
- Jie Li 0042 — Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China
- Jie Li 0043 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Jie Li 0044 — Chang'an University, School of Electronic and Control Engineering, Xi'an, China (and 1 more)
- Jie Li 0045 — Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China
- Jie Li 0046 — Xi'an Jiaotong University, State Key Laboratory for manufacturing Systems Engineering, China
- Jie Li 0047 — South China University of Technology, College of Electric Power, Guangzhou, China
- Jie Li 0048 — Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, National Key Laboratory of Air Traffic Flow Management, China
- Jie Li 0049 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Jie Li 0050 — Army Engineering University of PLA, National Key Laboratory on Electromagnetic Environment Effects and Electro-Optical Engineering, Nanjing, China
- Jie Li 0051 — Beijing Wuzi University, School of Information, China
- Jie Li 0052 — Xiamen University, School of Informatics, Department of Artificial Intelligence, China
- Jie Li 0053 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
- Jie Li 0054 — Yunnan University, School of Information Science and Engineering, China
- Jie Li 0055 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Jie Li 0056 — Guodian Technology and Environment Group Corporation Ltd., Beijing, China
- Jie Li 0057 — Texas Tech University, Department of Computer Science, Lubbock, TX, USA
- Jie Li 0058 — Central South University of Forestry and Technology, Changsha, China (and 1 more)
- Jie Li 0059 — North China University of Science and Technology, School of Metallurgy and Energy, Tangshan, China
- Jie Li 0060 — First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
- Jie Li 0061 — Hebei University of Technology, School of Economics and Management, Tianjin, China
- Jie Li 0062 — Nanjing University of Information Science and Technology, KLME / ILCEC / CIC-FEMD, China
- Jie Li 0063 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Jie Li 0064 — EPAM Systems, Hoofddrop, Netherlands (and 1 more)
- Jie Li 0065 — Chinese Academy of Sciences, Key Laboratory of Technology in Geo-spatial Information Processing and Application System, China (and 1 more)
- Jie Li 0066 — Zhengzhou University, School of International Studies, Zhengzhou, Henan, China
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Journal Articles
- 2024
[j42]Zhenghao Li, Qiangqiang Yuan, Qianqian Yang, Jie Li:
Fusion of Machine Learning and Semi-Empirical Models for Cooperative Retrieval of Soil Moisture With Optical and SAR Remote Sensing: Cyclic or Parallel? IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j41]Jing Sun, Qiangqiang Yuan, Huanfeng Shen, Jie Li, Liangpei Zhang:
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method. Sensors 24(17): 5566 (2024) - [j40]Jie Li, Liupeng Lin, Mange He, Jiang He, Qiangqiang Yuan, Huanfeng Shen:
Sentinel-1 Dual-Polarization SAR Images Despeckling Network Based on Unsupervised Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j39]Huanfeng Shen, Boxuan Zhang, Menghui Jiang, Jie Li:
Unsupervised Pan-Sharpening Network Incorporating Imaging Spectral Prior and Spatial-Spectral Compensation. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j38]Yao Tang, Jie Li, Linwei Yue, Xinxin Liu, Yajie Li, Yi Xiao, Qiangqiang Yuan:
A CNN-Transformer Embedded Unfolding Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - 2023
- [j37]Denghong Liu, Jie Li, Qiangqiang Yuan, Li Zheng, Jiang He, Shuheng Zhao, Yi Xiao:
An efficient unfolding network with disentangled spatial-spectral representation for hyperspectral image super-resolution. Inf. Fusion 94: 92-111 (2023) - [j36]Jiang He, Qiangqiang Yuan, Jie Li, Yi Xiao, Denghong Liu, Huanfeng Shen, Liangpei Zhang:
Spectral super-resolution meets deep learning: Achievements and challenges. Inf. Fusion 97: 101812 (2023) - [j35]Yajie Li, Jie Li, Jiang He, Xinxin Liu, Qiangqiang Yuan:
An Optimization-Driven Network With Knowledge Prior Injection for HSI Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - 2022
- [j34]Jiang He, Qiangqiang Yuan, Jie Li, Yi Xiao, Xinxin Liu, Yun Zou:
DsTer: A dense spectral transformer for remote sensing spectral super-resolution. Int. J. Appl. Earth Obs. Geoinformation 109: 102773 (2022) - [j33]Jiang He, Qiangqiang Yuan, Jie Li, Liangpei Zhang:
PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images. Inf. Fusion 80: 205-225 (2022) - [j32]Jie Li, Weixuan Sun, Menghui Jiang, Qiangqiang Yuan:
Self-Supervised Pansharpening Based on a Cycle-Consistent Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j31]Liupeng Lin, Huanfeng Shen, Jie Li, Qiangqiang Yuan:
FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j30]Yedan Yu, Jie Li, Qiangqiang Yuan, Qian Shi, Huanfeng Shen, Liangpei Zhang:
Coupling Dual Graph Convolution Network and Residual Network for Local Climate Zone Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1221-1234 (2022) - [j29]Jiang He, Qiangqiang Yuan, Jie Li, Liangpei Zhang:
A Knowledge Optimization-Driven Network With Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j28]Menghui Jiang, Huanfeng Shen, Jie Li:
Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j27]Liupeng Lin, Jie Li, Huanfeng Shen, Lingli Zhao, Qiangqiang Yuan, Xinghua Li:
Low-Resolution Fully Polarimetric SAR and High-Resolution Single-Polarization SAR Image Fusion Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j26]Fengfeng Wang, Jie Li, Qiangqiang Yuan, Liangpei Zhang:
Local-Global Feature-Aware Transformer Based Residual Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j25]Jiajun Xiao, Jie Li, Qiangqiang Yuan, Liangpei Zhang:
A Dual-UNet With Multistage Details Injection for Hyperspectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j24]Shuheng Zhao, Qiangqiang Yuan, Jie Li, Yunze Hu, Xinxin Liu, Liangpei Zhang:
A Fast and Effective Irregular Stripe Removal Method for Moon Mineralogy Mapper (M3). IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j23]Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4213-4227 (2022) - 2021
- [j22]Jianhao Gao, Qiangqiang Yuan, Jie Li, Xin Su:
Unsupervised missing information reconstruction for single remote sensing image with Deep Code Regression. Int. J. Appl. Earth Obs. Geoinformation 105: 102599 (2021) - [j21]Jianhao Gao, Jie Li, Menghui Jiang:
Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner. Remote. Sens. 13(16): 3226 (2021) - [j20]Jiajun Xiao, Jie Li, Qiangqiang Yuan, Menghui Jiang, Liangpei Zhang:
Physics-Based GAN With Iterative Refinement Unit for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6827-6841 (2021) - [j19]Huanfeng Shen, Chenxia Zhou, Jie Li, Qiangqiang Yuan:
SAR Image Despeckling Employing a Recursive Deep CNN Prior. IEEE Trans. Geosci. Remote. Sens. 59(1): 273-286 (2021) - [j18]Denghong Liu, Jie Li, Qiangqiang Yuan:
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 59(9): 7711-7725 (2021) - 2020
- [j17]Yi Yang, Jie Li, Guobin Zhu, Xiaobin Guan, Weiping Zhu:
The Impact of Multi-Dimensional Urbanization on PM₂.₅ Concentrations in 261 Cities of China. IEEE Access 8: 96199-96209 (2020) - [j16]Jianhao Gao, Qiangqiang Yuan, Jie Li, Hai Zhang, Xin Su:
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks. Remote. Sens. 12(1): 191 (2020) - [j15]Shuheng Zhao, Denghong Liu, Qiangqiang Yuan, Jie Li:
A Global Gravity Reconstruction Method for Mercury Employing Deep Convolutional Neural Network. Remote. Sens. 12(14): 2293 (2020) - [j14]Shuheng Zhao, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Can Terrestrial Restoration Methodologies be Transferred to Planetary Hyperspectral Imagery? A Quantitative Intercomparison and Discussion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5759-5775 (2020) - [j13]Shu Zhang, Qiangqiang Yuan, Jie Li, Jing Sun, Xuguo Zhang:
Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network. IEEE Trans. Geosci. Remote. Sens. 58(7): 4764-4779 (2020) - 2019
- [j12]Jiang He, Jie Li, Qiangqiang Yuan, Huifang Li, Huanfeng Shen:
Spatial-Spectral Fusion in Different Swath Widths by a Recurrent Expanding Residual Convolutional Neural Network. Remote. Sens. 11(19): 2203 (2019) - [j11]Huixin Fan, Jie Li, Qiangqiang Yuan, Xinxin Liu, Michael Ng:
Hyperspectral image denoising with bilinear low rank matrix factorization. Signal Process. 163: 132-152 (2019) - [j10]Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang:
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 57(2): 1205-1218 (2019) - [j9]Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang:
Spatial-Spectral Fusion by Combining Deep Learning and Variational Model. IEEE Trans. Geosci. Remote. Sens. 57(8): 6169-6181 (2019) - [j8]Qiang Zhang, Qiangqiang Yuan, Jie Li, Xinxin Liu, Huanfeng Shen, Liangpei Zhang:
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. IEEE Trans. Geosci. Remote. Sens. 57(10): 7317-7329 (2019) - [j7]Jie Li, Xinxin Liu, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties. IEEE Trans. Geosci. Remote. Sens. 57(10): 7832-7848 (2019) - 2018
- [j6]Qiang Zhang, Qiangqiang Yuan, Jie Li, Zhen Yang, Xiaoshuang Ma:
Learning a Dilated Residual Network for SAR Image Despeckling. Remote. Sens. 10(2): 196 (2018) - 2016
- [j5]Jie Li, Qiangqiang Yuan, Huanfeng Shen, Xiangchao Meng, Liangpei Zhang:
Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial-Spectral Group Sparsity. IEEE Geosci. Remote. Sens. Lett. 13(9): 1250-1254 (2016) - [j4]Xiangchao Meng, Jie Li, Huanfeng Shen, Liangpei Zhang, Hongyan Zhang:
Pansharpening with a Guided Filter Based on Three-Layer Decomposition. Sensors 16(7): 1068 (2016) - [j3]Linwei Yue, Huanfeng Shen, Jie Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang:
Image super-resolution: The techniques, applications, and future. Signal Process. 128: 389-408 (2016) - [j2]Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Noise Removal From Hyperspectral Image With Joint Spectral-Spatial Distributed Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 54(9): 5425-5439 (2016) - 2015
- [j1]Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Hyperspectral image recovery employing a multidimensional nonlocal total variation model. Signal Process. 111: 230-248 (2015)
Conference and Workshop Papers
- 2023
- [c24]Yingtao Wei, Liupeng Lin, Jie Li, Qiangqiang Yuan:
A Soil Moisture Downscaling Residual Dense Network Considering Spatiotemporal Relationship. IGARSS 2023: 3170-3173 - 2022
- [c23]Jianhao Gao, Jie Li, Xin Su, Menghui Jiang, Qiangqiang Yuan:
Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. CVPR Workshops 2022: 608-617 - [c22]Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c21]Menghui Jiang, Huanfeng Shen, Jie Li:
Cycle GAN Based Heterogeneous Spatial-Spectral Fusion for Soil Moisture Downscaling. IGARSS 2022: 4819-4822 - [c20]Fengfeng Wang, Jie Li, Qiangqiang Yuan:
Hyperspectral Image Restoration Based on Tensor Average Rank and Spatial-Spectral Total Variation. IGARSS 2022: 7571-7574 - 2021
- [c19]Jianhao Gao, Jie Li, Qiangqiang Yuan, Jiang He, Xin Su:
Self-supervised Hyperspectral and Multispectral Image Fusion in Deep Neural Network. ICIG (3) 2021: 425-436 - [c18]Menghui Jiang, Jie Li, Huanfeng Shen:
A Deep Learning-Based Heterogeneous Spatio-Temporal-Spectral Fusion: SAR and Optical Images. IGARSS 2021: 1252-1255 - [c17]Jiajun Xiao, Qiangqiang Yuan, Jie Li, Huanfeng Shen:
Enhanced Residual Dense Network Joint with GRUS for Multispectral and Hyperspectral Image Fusion. IGARSS 2021: 2448-2451 - [c16]Denghong Liu, Jie Li, Qiangqiang Yuan:
Enhanced 3D Convolution for Hyperspectral Image Super-Resolution. IGARSS 2021: 2452-2455 - 2020
- [c15]Shuheng Zhao, Qiangqiang Yuan, Jie Li, Huanfeng Shen, Liangpei Zhang:
Lunar Hyperspectral Image Destriping Method Using Low-Rank Matrix Recovery and Guided Profile. IGARSS 2020: 585-588 - [c14]Qiang Zhang, Fujun Sun, Qiangqiang Yuan, Jie Li, Huanfeng Shen, Liangpei Zhang:
Combined the Data-Driven with Model-Driven Stragegy: A Novel Framework for Mixed Noise Removal in Hyperspectral Image. IGARSS 2020: 2667-2670 - [c13]Jiang He, Jie Li, Qiangqiang Yuan:
Data-Driven and Model-Driven Spectral Superresolution Algorithms: Combination, Analysis and Application for Classification. IGARSS 2020: 2687-2690 - [c12]Shu Zhang, Qiangqiang Yuan, Jie Li:
Video Satellite Imagery Super Resolution for 'Jilin-1' via a Single-and-Multi Frame Ensembled Framework. IGARSS 2020: 2731-2734 - 2019
- [c11]Qiang Zhang, Qiangqiang Yuan, Jie Li, Huanfeng Shen, Liangpei Zhang:
Cloud and Shadow Removal for Sentinel-2 by Progressively Spatiotemporal Patch Group Learning. IGARSS 2019: 775-778 - [c10]Liupeng Lin, Jie Li, Qiangqiang Yuan, Huanfeng Shen:
Polarimetric SAR Image Super-Resolution VIA Deep Convolutional Neural Network. IGARSS 2019: 3205-3208 - [c9]Menghui Jiang, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Xinxin Liu, Mingming Xu:
Differential Information Residual Convolutional Neural Network for Pansharpening. IGARSS 2019: 4865-4868 - 2018
- [c8]Mingming Xu, Yuxiang Zhang, Jie Li, Jiayi Li, Dongmei Song, Yanguo Fan, Ning Sun:
Hyperspectral Band Selection Based on Endmember Dissimilarity for Hyperspectral Unmixing. IGARSS 2018: 4693-4696 - [c7]Mingming Xu, Guangyu Zhang, Yanguo Fan, Bo Du, Jie Li:
Archetypal analysis for endmember bundle extraction considering spectral variability. WHISPERS 2018: 1-4 - 2017
- [c6]Qiangqiang Yuan, Michael K. Ng, Huanfeng Shen, Liangpei Zhang, Jie Li:
Miss data reconstruction in remote sensing images with a double weighted tensor low rank model. IGARSS 2017: 4036-4039 - [c5]Chi Zhang, Huifang Li, Huanfeng Shen, Jie Li:
A spatial - Spectral adaptive haze removal method for remote sensing images. IGARSS 2017: 6134-6137 - 2016
- [c4]Xiong Xu, Xiaohua Tong, Jie Li, Huan Xie, Yanfei Zhong, Liangpei Zhang, Dongmei Song:
Hyperspectral image super resolution reconstruction with a joint spectral-spatial sub-pixel mapping model. IGARSS 2016: 6129-6132 - 2013
- [c3]Jie Li, Chao Zeng, Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen:
Hyperspectral images reconstruction based super-pixel mapping using cross-channel sparse model. IGARSS 2013: 3498-3501 - [c2]Jie Li, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang, Wei Gong:
Hypspectral image denoising via multidimensional nonlocal model. WHISPERS 2013: 1-4 - 2012
- [c1]Liangpei Zhang, Xiong Xu, Jie Li, Huanfeng Shen, Yanfei Zhong, Xin Huang:
Research on image reconstruction based and pixel unmixing based sub-pixel mapping methods. IGARSS 2012: 7263-7266
Informal and Other Publications
- 2023
- [i9]Jiang He, Yajie Li, Jie Li, Qiangqiang Yuan:
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising. CoRR abs/2311.13622 (2023) - 2021
- [i8]Liupeng Lin, Jie Li, Huanfeng Shen, Lingli Zhao, Qiangqiang Yuan, Xinghua Li:
Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network. CoRR abs/2107.08355 (2021) - [i7]Huanfeng Shen, Menghui Jiang, Jie Li, Chenxia Zhou, Qiangqiang Yuan, Liangpei Zhang:
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion. CoRR abs/2108.06073 (2021) - [i6]Menghui Jiang, Huanfeng Shen, Jie Li, Liangpei Zhang:
An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images. CoRR abs/2109.00400 (2021) - 2020
- [i5]Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution. CoRR abs/2011.09701 (2020) - 2018
- [i4]Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang:
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network. CoRR abs/1806.00183 (2018) - [i3]Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang:
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model. CoRR abs/1809.00764 (2018) - [i2]Qiang Zhang, Qiangqiang Yuan, Jie Li, Xinxin Liu, Huanfeng Shen, Liangpei Zhang:
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. CoRR abs/1810.00495 (2018) - 2017
- [i1]Qiang Zhang, Zhen Yang, Qiangqiang Yuan, Jie Li, Xiaoshuang Ma, Huanfeng Shen, Liangpei Zhang:
Learning a Dilated Residual Network for SAR Image Despeckling. CoRR abs/1709.02898 (2017)
Coauthor Index
[j42] [j41] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j27] [j26] [j25] [j24] [j23] [j22] [j20] [j19] [j18] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j3] [j2] [j1] [c24] [c23] [c22] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c6] [c3] [c2] [i9] [i8] [i7] [i5] [i4] [i3] [i2] [i1]
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last updated on 2024-09-28 02:22 CEST by the dblp team
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