MO4.SP.2
Deep Learning for Remote Sensing to Improve Flood Inundation Mapping
Yogesh Bhattarai, Vijay Chaudhary, Wai Lim Ku, Sanjib Sharma, Howard University, United States
Session:
MO4.SP: Student Paper Competition II Oral
Track:
Student Paper Competition
Location:
Holmead
Presentation Time:
Monday, 10 August, 16:35 - 16:55
Session Co-Chairs:
Francesca Bovolo, Fondazione Bruno Kessler and Giampaolo Ferraioli, Università degli Studi di Napoli Parthenope
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Session MO4.SP
MO4.SP.1: HydroDrone Campaign: Preliminary InSAR Results
Pietro Grassi, Marco Manzoni, Politecnico di Milano, Italy; Stefano Moro, Aresys srl, Italy; Stefano Tebaldini, Politecnico di Milano, Italy
MO4.SP.2: Deep Learning for Remote Sensing to Improve Flood Inundation Mapping
Yogesh Bhattarai, Vijay Chaudhary, Wai Lim Ku, Sanjib Sharma, Howard University, United States
MO4.SP.3: BEYOND ACCURACY: A MONTE CARLO DROPOUT FRAMEWORK FOR DECOMPOSING PREDICTIVE UNCERTAINTY IN MULTI-MODAL METHANE PLUME SEGMENTATION
Sachin Giri, University of California, Merced, United States; YANGQUAN CHEN, UC Merced, United States
MO4.SP.4: Soil Moisture Retrieval from a UAV-based S-Band Synthetic Aperture Radar in Bare Agricultural Fields
Weihang Li, Lena Azimi, Melba Crawford, James Garrison, Purdue University, United States
MO4.SP.5: LC4-DVIT: LAND-COVER CREATION FOR LAND-COVER CLASSIFICATION WITH DEFORMABLE VISION TRANSFORMER
Kai Wang, The Hong Kong University of Science and Technology, China; Siyi Chen, Johns Hopkins University, United States; Weicong Pang, National University of Singapore, Singapore; Chenchen Zhang, The Hong Kong University of Science and Technology, China; Renjun Gao, Macau University of Science and Technology, China; Ziru Chen, Cheng Li, Dasa Gu, The Hong Kong University of Science and Technology, China; Rui Huang, The Chinese University of Hong Kong, Shenzhen, China; Alexis Kai Hon Lau, The Hong Kong University of Science and Technology, China
Resources
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