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

TH1.R2.6

ADAPTIVE FEATURE AGGREGATION NETWORK FOR OBJECT DETECTION IN REMOTE SENSING IMAGES

Wenliang Sun, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xidian University, China; Li Gao, State Key Laboratory of Geo-information Engineering, China; Xu Tang, Bo Liu, Xidian University, China
Session:
Adaptive and Neural Methods for Object Recognition
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 1 Oct, 12:50-13:00 (UTC)
Thu, 1 Oct, 20:50-21:00 China Standard Time (UTC +8)
Thu, 1 Oct, 14:50-15:00 Central Europe Summer Time (UTC +2)
Thu, 1 Oct, 05:50-06:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Guoqing Zhou, Guilin University of Technology and Yang Liu, PetroChina
Session Managers:
Sujan Sapkota and Rajat Shinde

Presentation

Discussion

Resources

Session

TH1.R2.1: FUSION-ORIENTED AIRCRAFT DETECTION IN LARGE SCENE IMAGE BASED ON TINY DARKNET
Jianing Wang, Ye Zhang, Harbin Institute of Technology, China
TH1.R2.2: COMPUTER VISION AIDED OPTICAL CORRELATOR FOR SAR TARGET RECOGNITION
Xintao Meng, Yesheng Gao, Xingzhao Liu, Shanghai Jiao Tong University, China
TH1.R2.3: FINE ACQUISITION OF VESSEL TRAINING DATA FOR MACHINE LEARNING FROM SENTINEL-1 SAR IMAGES ACCOMPANIED BY AIS IMFORMATION
Juyoung Song, Duk-jin Kim, Seoul National University, Korea (South)
TH1.R2.4: A target detection algorithm of neural network based on histogram statistics
Shuai Jiang, Yalong Pang, Luyuan Wang, Jiyang Yu, Bowen Cheng, Zongling Li, Beijing Institute of Spacecraft System Engineering, China
TH1.R2.5: USING POLAR GRID FOR BUILDING EXTRACTION IN TERRESTRIAL LASER SCANNING DATA
Maolin Chen, Feifei Tang, Jianping Pan, Chongqing Jiaotong University, China
TH1.R2.6: ADAPTIVE FEATURE AGGREGATION NETWORK FOR OBJECT DETECTION IN REMOTE SENSING IMAGES
Wenliang Sun, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xidian University, China; Li Gao, State Key Laboratory of Geo-information Engineering, China; Xu Tang, Bo Liu, Xidian University, China
TH1.R2.7: FEATURE ENHANCED CENTERNET FOR OBJECT DETECTION IN REMOTE SENSING IMAGES
Tong Zhang, Guanqun Wang, Beijing Institute of Technology, China; Yin Zhuang, Peking University, China; He Chen, Hao Shi, Liang Chen, Beijing Institute of Technology, China
TH1.R2.8: BUILDING DETECTION BASED ON RECTANGLE APPROXIMATION AND REGION GROWING
Xueqi Yin, Harbin Institute of Technology, China; XiaoLong Hao, Beijing Tracking and Communication Technology Research Institute, China; Tong Gao, Hao Chen, Wen Chen, Harbin Institute of Technology, China
TH1.R2.9: SHIP DETECTION WITH SAR BASED ON YOLO
Shaobin Jiang, University of Electronic Science and Technology of China, China; Mingcang Zhu, Department of Natural Resources of Sichuan Province, China; Yong He, Sichuan Research Institute for Eco-system Restoration & Geo-disaster Prevention, China; Zezhong Zheng, University of Electronic Science and Technology of China, China; Fangrong Zhou, Yunnan Power Grid Co., Ltd, China; Guoqing Zhou, Guilin University of Technology, China
TH1.R2.10: MULTI-ASPECT SAR TARGET RECOGNITION BASED ON EFFICIENTNET AND GRU
Pengfei Zhao, Lijia Huang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TH1.R2.11: HYPERSPECTRAL TARGET DETECTION BY FRACTIONAL FOURIER TRANSFORM
Xiaobin Zhao, Wei Li, Tao Shan, Beijing Institute of Technology, China; Lu Li, Beijing Information Science and Technology University, China; Ran Tao, Beijing Institute of Technology, China
TH1.R2.12: TOPOGRAPHICAL FEATURE EXTRACTION USING MACHINE LEARNING TECHNIQUES FROM SENTINEL-2A IMAGERY
Kuldeep Chaurasia, Neeraj Baipureddy, Dattu Burle, Vipul Kumar Mishra, Bennett University, India