作者： Wang, Yinjian^1,2;Li, Wei^1,2;Liu, Na^1,2;Gui, Yuanyuan^1,2;Tao, Ran^1,2 （¹Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China.;²Beijing Inst Technol, Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China.）

出处： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023

关键词： FACTORIZATION; RANK; APPROXIMATION; IMAGES

摘要： Fusion with corresponding finer-resolution images has been a promising way to enhance hyperspectral images (HSIs) spatially. Recently, low-rank tensor ...

作者： Wang, Junjie^1,2;Li, Wei^1,2;Wang, Yinjian^1,2;Tao, Ran^1,2;Du, Qian³ （¹Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China.;²Beijing Inst Technol, Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China.;³Mississippi State Univ, Dept Elect & Comp Engn, Starkville, MS 39762 USA.）

出处： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023

关键词： LAND-COVER CLASSIFICATION; WETLAND CLASSIFICATION; DATA FUSION

摘要： Deep-learning-based methods are widely used in multisource remote-sensing image classification, and the improvement in their performance confirms the ...

作者： Pang, Dongdong¹;Ma, Pengge²;Feng, Yuan¹;Shan, Tao¹;Tao, Ran¹;Jin, Qiuchun² （¹Beijing Inst Technol, Sch Informat & Elect, Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China.;²Zhengzhou Univ Aeronaut, Sch Intelligent Engn, Zhengzhou 450000, Peoples R China.）

出处： IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2023 Vol.61

关键词： MODEL

摘要： In the low-altitude urban background with heavy interference, especially in the face of corner interference with higher intensity than the target, inf ...

作者： Zhang, Yunzuo¹;Guo, Wei¹;Wu, Cunyu¹;Li, Wei^2,3;Tao, Ran^2,3 （¹Shijiazhuang Tiedao Univ, Sch Informat Sci & Technol, Shijiazhuang 050043, Peoples R China.;²Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China.;³Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China.）

出处： IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2023 Vol.61

摘要： High-precision remote sensing image object detection has broad application prospects in military defense, disaster emergency, urban planning, and othe ...

作者： Wang, Junjie^1,2;Zhang, Mengmeng^1,2;Li, Wei^1,2;Tao, Ran^1,2 （¹Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China.;²Beijing Inst Technol, Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China.）

出处： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023

摘要： Mixup-based data augmentation has been proven to be beneficial to the regularization of models during training, especially in the remote-sensing field ...

作者： Zhang, Yunzuo¹; Liu, Yameng¹; Kang, Weili¹; Tao, Ran² （¹Shijiazhuang Tiedao University, Shijiazhuang, China;²Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Circuits and Systems for Video Technology 2023 P1-1

作者： Zhang, Yunzuo¹; Zhang, Tian¹; Wu, Cunyu¹; Tao, Ran² （¹Shijiazhuang Tiedao University, Shijiazhuang, China;²Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Multimedia 2023 P1-11

作者： Liu, Huan¹; Li, Wei¹; Xia, Xiang-Gen^{1, 2}; Zhang, Mengmeng¹; Tao, Ran¹ （¹Beijing Institute of Technology, School of Information and Electronics, Beijing; 100081, China;²University of Delaware, Department of Electrical and Computer Engineering, Newark; DE; 19716, United States）

出处： IEEE Transactions on Geoscience and Remote Sensing 2023

作者： Ma, Ruinan¹; Zhu, Canjie²; Lu, Mingfeng²; Li, Yunjie²; Tan, Yu-An¹; Zhang, Ruibin²; Tao, Ran² （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China;²School of Information and Electronics, Beijing Institute of Technology, Beijing, China）

出处： arXiv 2023

作者： Han,Xiaolin¹;Leng,Wei¹;Xu,Qizhi¹;Li,Wei²;Tao,Ran²;Sun,Weidong³; （¹Beijing Institute of Technology, School of Mechatronical Engineering, Beijing, 100081, China;²Beijing Institute of Technology, School of Information and Electronics, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, 100081, China;³Tsinghua University, Department of Electronic Engineering, China Institute of Ocean Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Beijing, 100084, China）

出处： IEEE Transactions on Geoscience and Remote Sensing 2023 Vol.61 P1-15

摘要： Patch-based spatial dictionary has been widely used to fuse a high-resolution panchromatic (PAN) image with a low-resolution multispectral (LMS) image ...