WE4.M4.5
AEROMELDNET: LIGHTWEIGHT MULTI-TASK MAMBAVISION FRAMEWORK FOR REAL-TIME AERIAL SCENE AND DISASTER DETECTION
Anuvab Sen, Georgia Institute of Technology, India; Angshuman Roy, Subhabrata Roy, Subhrajit Deb, Indian Institute of Engineering Science and Technology, India
Session:
WE4.M4: RS of Disaster Monitoring and Management: Floods and Landslides Oral
Track:
Special Scientific Themes
Location:
Room M4
Presentation Time:
Wednesday, 6 August, 16:45 - 17:00
Presentation
Discussion
Resources
No resources available.
Session WE4.M4
WE4.M4.1: PREDICTION OF PEAK FLOODS IN INDIAN RIVERS USING INTERPRETABLE MACHINE-LEARNING
Sai Kiran Kuntla, Manabendra Saharia, Indian Institute of Technology Delhi, India
WE4.M4.2: URBAN FLOOD DETECTION USING ENSEMBLE OF SAR MULTI-SPATIOTEMPORAL INTERFEROMETRIC COHERENCE
Wei CAO, Yicheng Song, Akira Hirose, Ryo Natsuaki, The University of Tokyo, Japan
WE4.M4.5: Building Damage Segmentation with GAN-Synthesized High-Resolution SAR Imagery
Chia Yee Ho, Bruno Adriano, Erick Mas, Shunichi Koshimura, International Research Institute of Disaster Science, Japan
WE4.M4.3: Evaluating Flood Impacts on Environment and Socio-Economics with Google Earth Engine and Remote Sensing
Nai WEI, Yi LIN, JIE YU, College of Surveying and Geo-informatics, China
WE4.M4.2: AEROMELDNET: LIGHTWEIGHT MULTI-TASK MAMBAVISION FRAMEWORK FOR REAL-TIME AERIAL SCENE AND DISASTER DETECTION
Anuvab Sen, Georgia Institute of Technology, India; Angshuman Roy, Subhabrata Roy, Subhrajit Deb, Indian Institute of Engineering Science and Technology, India
Resources
No resources available.