2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

FR2.R3.5

REDUCING THE RECEIVING ARRAY COMPLEXITY BY USING THE PARALLEL STOCHASTIC RESONANCE SYSTEM

Di He, Shanghai Jiao Tong University, China; Fusheng Zhu, Guangdong Communications & Networks Institute, China; Lijuan Sun, NXP Semiconductors, China; Wenxian Yu, Shanghai Jiao Tong University, China
Session:
Object Detection and Segmentation
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 2 Oct, 15:10-15:20 (UTC)
Fri, 2 Oct, 23:10-23:20 China Standard Time (UTC +8)
Fri, 2 Oct, 17:10-17:20 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 08:10-08:20 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Pedro Rossa, Unisinos University and Qing Xu, Hohai University
Session Manager:
Natalia Indira Vargas Cuentas

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Session

FR2.R3.1: CLOUD SHADOW DETECTION IN HYPERSPECTRAL IMAGERY USING BACKPROPAGATION NEURAL NETWORK WITH LIDAR DATA
Meng Xu, Sen Jia, Shenzhen University, China
FR2.R3.2: AUTOMATIC SINGLE-IMAGE BASED CLOUD DETECTION METHOD WITHOUT PRIOR INFORMATION
Yuhan Liu, Zhenming Peng, University of Electronic Science and Technology of China, China
FR2.R3.3: SATELLITE ATTITUDE CHANGE RECOGNITION BASED ON MULTI-FRAME IMAGE BY 3D CONVOLUTIONAL NEURAL NETWORKS
Haoxuan Yuan, Yun Zhang, Harbin Institute of Technology, China; Xiaodong Gong, Southwest electronic equipment research institute, China; Hongbo Li, Muqun Niu, Harbin Institute of Technology, China
FR2.R3.4: HOW MUCH WAVELET DECOMPOSITION CAN IMPROVE THE DETECTION OF SURFACE FRACTURES IN REMOTE SENSING IMAGES?
Eniuce Souza, State University of Maringa, Brazil; Ademir Marques Jr, Rafael Horota, Lucas Kupssinsku, Pedro Rossa, Alysson Aires, Luiz Silveira Junior, Maurício Veronez, Unisinos University, Brazil; Carol Cazarin, PETROBRAS, Brazil
FR2.R3.5: REDUCING THE RECEIVING ARRAY COMPLEXITY BY USING THE PARALLEL STOCHASTIC RESONANCE SYSTEM
Di He, Shanghai Jiao Tong University, China; Fusheng Zhu, Guangdong Communications & Networks Institute, China; Lijuan Sun, NXP Semiconductors, China; Wenxian Yu, Shanghai Jiao Tong University, China
FR2.R3.6: RESEARCH ON C&I JAMMING BASED ON FREQUENCY DIVERSE ARRAY ANTENNA
Hui Wang, State Grid Anhui Electric Power CO., LTD, China; Shunsheng Zhang, University of Electronic Science and Technology of China, China; Lu Zhang, Xiaowei Wang, State Grid Anhui Electric Power CO., LTD, China; Bang Huang, University of Electronic Science and Technology of China, China
FR2.R3.7: OBJECT DETECTION FOR REMOTE SENSING IMAGES BASED ON GUIDED ANCHORING AND FEATURE FUSION
Wei Wang, Zhuangzhuang Tian, Ronghui Zhan, Jun Zhang, Zhaowen Zhuang, National University of Defense Technology, China
FR2.R3.8: HIGH-RESOLUTION IMAGING BASED ON TEMPORAL-SPATIAL STOCHASTIC RADIATION FIELD AND COMPRESSIVE SENSING THEORY
Rui Zhang, Yinghui Quan, Xidian University, China; Ran Xu, Beijing Institue of Electronic System Engineering, China; Shengqi Zhu, Yachao Li, Mengdao Xing, Xidian University, China
FR2.R3.9: A DEFORMABLE CONVOLUTION NEURAL NETWORK FOR SAR ATR
Zhiyong Wang, Chenwei Wang, Jifang Pei, Yulin Huang, Yin Zhang, Haiguang Yang, University of Electronic Science and Technology of China, China
FR2.R3.10: A NOVEL FRAMEWORK OF CNN INTEGRATED WITH ADABOOST FOR REMOTE SENSING SCENE CLASSIFICATION
Xudong Hu, Penglin Zhang, Qi Zhang, Wuhan University, China
FR2.R3.11: SUPERVISED ADAPTIVE-RPN NETWORK FOR OBJECT DETECTION IN REMOTE SENSING IMAGES
Xu Tang, Huayu Zhang, Jingjing Ma, Xiangrong Zhang, Licheng Jiao, Xidian University, China
FR2.R3.12: DEEP ADAPTIVE PROPOSAL NETWORK IN OPTICAL REMOTE SENSING IMAGES OBJECTIVE DETECTION
Lingling Li, Lin Cheng, Xiaohui Guo, Xu Liu, Licheng Jiao, Fang Liu, Xidian University, China