作者： Pang,Dongdong¹;Shan,Tao¹;Ma,Pengge²;Li,Wei¹;Liu,Shengheng³;Tao,Ran¹; （¹Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing, China;²School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China;³School of Information Science and Engineering, Southeast University, Nanjing, China）

出处： IEEE Geoscience and Remote Sensing Letters 2022 Vol.19

摘要： The effective monitoring of low-altitude slow small (LSS) targets represented by unmanned aerial vehicle (UAV) is a great challenge in the field of se ...

作者： Wang,Yingying¹;Li,Wei²;Huang,Zhanchao²;Tao,Ran²;Ma,Pengge³; （¹College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China;²School of Information and Electronics, Beijing Institute of Technology, Beijing, China;³School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China）

出处： IEEE Geoscience and Remote Sensing Letters 2022 Vol.19

摘要： With the gradual opening of airspace, tracking of noncooperative low-altitude slow-speed small size (LSS) targets is important for the maintenance of ...

作者： Zhao,Mingjing¹²;Li,Wei¹²;Li,Lu³;Ma,Pengge⁴;Cai,Zhaoquan⁵;Tao,Ran¹²; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, 100811, China;²Beijing Key Laboratory of Fractional Signals and Systems, Beijing, 100081, China;³School of Automation, Beijing Information Science and Technology University, Beijing, 100101, China;⁴School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, 450015, China;⁵Department of Information Science and Technology, Huizhou University, Huizhou, 516007, China）

出处： IEEE Transactions on Geoscience and Remote Sensing 2022 Vol.60

摘要： Existing infrared small-target detection methods tend to perform unsatisfactorily when encountering complex scenes, mainly due to the following: 1) th ...

作者： Wang,Nan¹²;Li,Wei¹²;Tao,Ran¹²;Du,Qian³; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China;²Beijing Key Laboratory of Fractional Signals and Systems, Beijing, 100081, China;³Department of Electrical and Computer Engineering, Mississippi State University, Starkville, 39762, MS, United States）

出处： Remote Sensing of Environment 2022 Vol.274

摘要： Remote sensing technology has been frequently used to obtain information on changes in urban land cover because of its vast spatial coverage and timel ...

作者： Zhang,Yuxiang¹;Li,Wei¹;Zhang,Mengmeng¹;Wang,Shuai²;Tao,Ran¹;Du,Qian³; （¹School of Information and Electronics, and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China;²Department of Chemistry, The University of Hong Kong, Hong Kong, China;³Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA）

出处： IEEE Transactions on Neural Networks and Learning Systems 2022 P1-14

摘要： Most domain adaptation (DA) methods in cross-scene hyperspectral image classification focus on cases where source data (SD) and target data (TD) with ...

作者： Wang,Junjie¹;Li,Wei¹;Gao,Yunhao¹;Zhang,Mengmeng¹;Tao,Ran¹;Du,Qian²; （¹Beijing Key Laboratory of Fractional Signals and Systems and the School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;²Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762 USA）

出处： IEEE Transactions on Neural Networks and Learning Systems 2022 P1-15

摘要： Due to the limitations of single-source data, joint classification using multisource remote sensing data has received increasing attention. However, e ...

作者： Zhao,Xudong¹;Zhang,Mengmeng¹;Tao,Ran¹;Li,Wei¹;Liao,Wenzhi²;Tian,Lianfang³;Philips,Wilfried⁴; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China;²Sustainable Materials Management Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium;³School of Automation, South China University of Technology, Guangzhou, China;⁴IMEC Research Group, Image Processing and Interpretation (IPI) Group, Ghent University, Ghent, Belgium）

出处： IEEE Transactions on Neural Networks and Learning Systems 2022 P1-13

摘要： With the recent development of the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data, deep learning metho ...

作者： Huang,Zhanchao¹;Li,Wei¹;Xia,Xiang-Gen²;Tao,Ran¹; （¹School of Information and Electronics, The Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China;²Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, United States）

出处： IEEE Transactions on Image Processing 2022 Vol.31 P1895-1910

摘要： Recently, many arbitrary-oriented object detection (AOOD) methods have been proposed and attracted widespread attention in many fields. However, most ...

作者： Zhen Zhang¹;Lijuan Jia¹;CA1;Ran Tao¹;Yue Wang¹; （¹School of Information and Electronics, Beijing Institute of Technology, 100081, Beijing, China）

出处： Science China Information Sciences 2022 Vol.65 No.5

关键词： blind adaptive identification;equalization;normalized least mean squares algorithm;bias compensation;errors-in-variables

摘要： In this paper, two new blind adaptive identification and equalization algorithms based on second-order statistics are proposed. We consider a practica ...

作者： Li, Yan¹;Jia, Lijuan¹;Yang, Zijiang²;Tao, Ran¹; （¹School of Information and Electronics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China;²Department of Mechanical Systems Engineering, College of Engineering, Ibaraki University, Ibaraki, Japan）

出处： Digital Signal Processing: A Review Journal 2022 Vol.122 No.C P103373

关键词： LEAST-MEAN SQUARES;DISTRIBUTED ESTIMATION;LMS;FORMULATION;STRATEGIES

摘要： In recent years, the distributed estimation problem based on the diffusion strategy has received more and more attention, where the node filters coope ...