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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-4.4

VEHICLE DETECTION VIA POLARIMETRIC SAR IMAGE

Dai Xiaokang, Yin Junjun, University of Science and Technology Beijing, China; Yang Jian, Tsinghua University, China; Zhou Liangjiang, Chinese Academy of Sciences, China
Session:
Advanced Target Detection Method in SAR/PolSAR Images
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 09:15-09:30 (UTC)
Tue, 13 Jul, 11:15-11:30 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 17:15-17:30 China Standard Time (UTC +8)
Tue, 13 Jul, 05:15-05:30 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Xavier Neyt, Royal Military Academy and Tao Zhang, Tsinghua University
Session Manager:
María Culman
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Session TU1.O-4
TU1.O-4.1: REAL TIME SAR SHIP DETECTION USING NOVEL SARNEDE METHOD
Anil Raj J, Sumam Mary Idicula, Binu Paul, Cochin University of Science and Technology, India
TU1.O-4.2: A FALSE ALARM SUPPRESSION METHOD VIA SELECTIVE ANCHOR GENERATOR FOR SHIP DETECTION IN SAR IMAGES
Yu Tian, Zongyong Cui, Zongjie Cao, Yiming Pi, University of Electronic Science and Technology of China, China
TU1.O-4.3: CROSS-DOMAIN TRANSFER FOR SHIP INSTANCE SEGMENTATION IN SAR IMAGES
Chunbo Zhu, Danpei Zhao, Beihang University, China; Jing Qi, DFH Satellite Co., Ltd., China; Xinhu Qi, Space Star Technology Co., Ltd., China; Zhenwei Shi, Beihang University, China
TU1.O-4.4: VEHICLE DETECTION VIA POLARIMETRIC SAR IMAGE
Dai Xiaokang, Yin Junjun, University of Science and Technology Beijing, China; Yang Jian, Tsinghua University, China; Zhou Liangjiang, Chinese Academy of Sciences, China
TU1.O-4.5: SIMPLIFIED POWER-BASED DETECTORS FOR SHIP DETECTION OF POLSAR IMAGERY
Tao Zhang, Tsinghua University, China; Hongping Gan, Northwestern Polytechnical University, China; Zhen Yang, Jiangxi Science and Technology Normal University, China; Bing Zeng, University of Electronic Science and Technology of China, China; Jian Yang, Tsinghua University, China
TU1.O-4.6: SMALL VESSEL DETECTION BASED ON ADAPTIVE DUAL-POLARIMETRIC SAR FEATURE FUSION AND ATTENTION-ENHANCED FEATURE PYRAMID NETWORK
Feixiang Zhang, Yongsheng Zhou, Fan Zhang, Qiang Yin, Fei Ma, Beijing University of Chemical Technology, China

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