17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TH5.V18.3

Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data

Ritu Yadav, Andrea Nascetti, Yifang Ban, KTH Royal Institute of Technology, Sweden
Session:
Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure Oral Virtual
Track:
Invited Sessions
Location:
Virtual Room 18
Presentation Time:
Thu, 21 Jul, 20:35 - 20:50 Malaysia Time (UTC +8)
Thu, 21 Jul, 14:35 - 14:50 Central European Time (UTC +2)
Thu, 21 Jul, 12:35 - 12:50 UTC
Thu, 21 Jul, 08:35 - 08:50 Eastern Time (UTC -4)
Session Co-Chairs:
Young-Joo Kwak, NILIM-MLIT (National Institute for Land and Infrastructure Management - Ministry of Japan) and Ramona Pelich, Luxembourg Institute of Science and Technology
Session Manager:
Mohamad Faris Zulkefli
Presentation
Discussion
Resources
No resources available.
Session TH5.V18
TH5.V18.1: PRIOR INFORMATION IN SUPPORT OF DEEP LEARNING METHODS TO MAP FLOODWATER IN URBANIZED AREAS
Jie Zhao, Luxembourg Institute of Science and Technology / Technische Universität Wien, Austria; Yu Li, Patrick Matgen, Ramona Pelich, Marco Chini, Luxembourg Institute of Science and Technology, Luxembourg; Renaud Hostache, Institut de recherche pour le développement, France; Wolfgang Wagner, Technische Universität Wien, Austria
TH5.V18.2: An experiment of flooded building detection using ALOS-2 and a flood experiment field
Masato Ohki, Takeo Tadono, JAXA, Japan; Ryo Natsuaki, The University of Tokyo, Japan; Sadayoshi Aoyama, Nihon University, Japan
TH5.V18.3: Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data
Ritu Yadav, Andrea Nascetti, Yifang Ban, KTH Royal Institute of Technology, Sweden
TH5.V18.4: SEMI-AUTOMATED LANDSLIDE DETECTION USING OBJECT-BASED IMAGE ANALYSIS AFTER THE 2018 TYPHOON PRAPIROON IN EASTERN HIROSHIMA, JAPAN
Ira Karrel San Jose, Wataru Takeuchi, The University of Tokyo, Japan
TH5.V18.5: DATA SHARING FRAMEWORK FOR DIGITAL INFRASTRUCTURE MANAGEMENT UTILIZING EO DATA
Young-Joo Kwak, NILIM-MLIT (National Institute for Land and Infrastructure Management - Ministry of Japan), Japan