TU1.R1.4

A MULTI-BRANCH U-NET FOR WATER AREA SEGMENTATION WITH MULTI-MODALITY REMOTE SENSING IMAGES

Chenchen Zhang, Rongfang Wang, Xidian University, China; Jia-Wei Chen, Xidian Univerisity, China; Weibin Li, Xidian University, China; Chunlei Huo, Institute of Automation, Chinese Academy of Sciences, China; Yi Niu, Xidian University, China
Session:
TU1.R1: Image Analysis for the Remote Sensing of Water Bodies Oral
Track:
Data Analysis
Location:
Room B
Presentation Time:
Tue, 18 Jul, 09:06 - 09:18 Pacific Time (UTC -8)
Session Co-Chairs:
Georgios Voulgaris, University of Sussex and Bohan Chen, University of California, Los Angeles
Session Manager:
Avrodeep Paul
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Resources
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Session TU1.R1
TU1.R1.1: Graph-based Active Learning for Surface Water and Sediment Detection in Multispectral Images
Bohan Chen, University of California, Los Angeles, United States; Kevin Miller, University of Texas, Austin, United States; Andrea Bertozzi, University of California, Los Angeles, United States; Jon Schwenk, Los Alamos National Laboratory, United States
TU1.R1.2: WATER PHYSICS AWARE SEMANTIC SEGMENTATION THROUGH TEXTURE-BIASED U-NET ARCHITECTURES
Georgios Voulgaris, Andrew Philippides, Novi Quadrianto, University of Sussex, United Kingdom
TU1.R1.3: EFFICIENT REMOTE SENSING TRANSFORMER FOR COASTLINE DETECTION WITH SENTINEL-2 SATELLITE IMAGERY
Yuji Wang, Ruojun Zhao, Zijun Sun, University of Electronic Science and Technology of China, China
TU1.R1.4: A MULTI-BRANCH U-NET FOR WATER AREA SEGMENTATION WITH MULTI-MODALITY REMOTE SENSING IMAGES
Chenchen Zhang, Rongfang Wang, Xidian University, China; Jia-Wei Chen, Xidian Univerisity, China; Weibin Li, Xidian University, China; Chunlei Huo, Institute of Automation, Chinese Academy of Sciences, China; Yi Niu, Xidian University, China
TU1.R1.5: SADMA: SATELLITE BASED MARINE DEBRIS DETECTION USING RESIDUAL ATTENTION UNET
Azhan Mohammed, GalaxEye Space, India
Resources
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