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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-5.9

urban FOREST IDentification from high-resolution images using deep-learning method

Wei Wang, Rongyuan Liu, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Huiyun Yang, China Research Institute of Radioware Propagation, China; Ping Zhou, China University of Geosciences-Beijing, China; Xiangwen Zhang, Ling Ding, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China
Session:
Deep Learning for Remotely Sensed Image Analysis
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 16 Jul, 11:40-11:45 (UTC)
Fri, 16 Jul, 13:40-13:45 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:40-19:45 China Standard Time (UTC +8)
Fri, 16 Jul, 07:40-07:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Qian Du, Mississippi State University and Jennifer Adams, ESA
Session Manager:
Christel Chappuis
Presentation
Discussion
Resources
Session FR2.MM-5
FR2.MM-5.1: A FILTERING APPROACH FOR GENERATED SAMPLES BY GANS IN SAR ATR
Changjie Cao, Zongyong Cui, Zongjie Cao, Liying Wang, Jielei Wang, Jianyu Yang, University of Electronic Science and Technology of China, China
FR2.MM-5.2: AUTOMATED COUNTING WILD BIRDS ON UAV IMAGE USING DEEP LEARNING
Kenta Ogawa, Rakuno Gakuen University, Japan; Yuting Lin, Hiroshi Takeda, Kanji Hashimoto, Kokusai Kogyo Co., Ltd, Japan; Yukiko Konno, Kaori Mori, Rakuno Gakuen University, Japan
FR2.MM-5.3: ADVERSARIAL ROBUSTNESS EVALUATION OF DEEP CONVOLUTIONAL NEURAL NETWORK BASED SAR ATR ALGORITHM
Hao Sun, Yanjie Xu, Gangyao Kuang, National University of Defence Technology, China; Jin Chen, Beijing Institute of Remote Sensing Information, China
FR2.MM-5.4: ISAR IMAGES GENERATION VIA GENERATIVE ADVERSARIAL NETWORKS
Ruo-Yi Zhou, Zhi-Long Yang, Feng Wang, Fudan University, China
FR2.MM-5.5: OIL DEPOT DETECTION VIA CNN SEMANTIC SEGMENTATION
Antoine Tadros, Sébastien Drouyer, Rafael Grompone von Gioi, Centre Borreli - ENS Paris-Saclay, France
FR2.MM-5.6: SIAMMRAAN : SIAMESE MULTI-LEVEL RESIDUAL ATTENTION ADAPTIVE NETWORK FOR HYPERSPECTRAL VIDEOS TRACKING
Ye Wang, Shaohui Mei, Shun Zhang, Northwestern Polytechnical University, China; Qian Du, Mississippi State University, United States
FR2.MM-5.7: TRANSFERRED TENSOR DECOMPOSITION-BASED DEEP LEARNING FOR HYPERSPECTRAL ANOMALY DETECTION
Yulei Wang, Fengchao Wang, Qingyu Zhu, Meiping Song, Chunyan Yu, Dalian Maritime University, China
FR2.MM-5.9: urban FOREST IDentification from high-resolution images using deep-learning method
Wei Wang, Rongyuan Liu, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Huiyun Yang, China Research Institute of Radioware Propagation, China; Ping Zhou, China University of Geosciences-Beijing, China; Xiangwen Zhang, Ling Ding, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China
FR2.MM-5.10: SAR Image Change Detection via a Few-Shot Learning-based Neural Network
Ronfang Wang, Weidong Wang, Xidian University, China; Pinghai Dong, Tsinghua Shenzhen International Graduate School, China; Haojiang Wei, Licheng Jiao, Jia-Wei Chen, Xidian University, China

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