TH2.R13.3
MULTI-TEMPORAL SENTINEL-2 LANDSLIDE DETECTION USING DEEP LEARNING SEGMENTATION MODELS
Andrea Rapuzzi, A-SIGN, Italy; Francesca Crovetto, Unige DICCA, Italy; Isabel Carozzo, Ennio Ottaviani, OnAIR, Italy
Session:
TH2.R13: Image Segmentation for Disaster Mapping Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Thu, 13 Aug, 11:30 - 11:45
Presentation
Discussion
Resources
No resources available.
Session TH2.R13
TH2.R13.1: An Instance Based Approach to Building Damage Assessment in Disaster Zones
Stephen Philippeau, Arafat Abu Mallouh, Manhattan University, United States
TH2.R13.2: FUSING UAV IMAGERY AND DIGITAL ELEVATION MODELS FOR HIGH-PRECISION FLOOD MAPPING
Michiel De Baets, Brian Booth, Hiep Luong, Michiel Vlaminck, Ghent University, Belgium
TH2.R13.3: MULTI-TEMPORAL SENTINEL-2 LANDSLIDE DETECTION USING DEEP LEARNING SEGMENTATION MODELS
Andrea Rapuzzi, A-SIGN, Italy; Francesca Crovetto, Unige DICCA, Italy; Isabel Carozzo, Ennio Ottaviani, OnAIR, Italy
TH2.R13.4: BEYOND PIXELS: MULTI-SCALE WAVELET TRANSFER FOR CROSS-REGIONAL LANDSLIDE SEGMENTATION
Rahul Deb, Stuyvesant High School, United States; Yingli Tian, The City University of New York (City College), United States; Te Pei, Stony Brook University, United States
Contacts