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.R3.7

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
Session:
Object Detection and Segmentation
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 2 Oct, 15:30-15:40 (UTC)
Fri, 2 Oct, 23:30-23:40 China Standard Time (UTC +8)
Fri, 2 Oct, 17:30-17:40 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 08:30-08:40 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