TH2.R2.1

CHANGE DETECTION BASED ON ORDINAL ENTROPY OF SELF-SUPERVISED SEGMENTATION

Yaser Yacoob, University of Maryland, United States
Session:
TH2.R2: Advanced Change Detection and Multitemporal Analysis Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Thu, 20 Jul, 10:15 - 10:27 Pacific Time (UTC -7)
Session Co-Chairs:
Marco Lavalle, Jet Propulsion Laboratory and Hichem Sahbi, CNRS Sorbonne University
Session Manager:
Srashti Singh
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Session TH2.R2
TH2.R2.1: CHANGE DETECTION BASED ON ORDINAL ENTROPY OF SELF-SUPERVISED SEGMENTATION
Yaser Yacoob, University of Maryland, United States
TH2.R2.2: Change detection robust to orbital variation using Bayesian SAR tomography
Yuki Yamaguchi, Taichi Tanaka, Masato Toda, Visual Intelligence Research Laboratories, NEC Corporation, Japan
TH2.R2.3: COMPARING SPATIAL AND SPATIO-TEMPORAL PARADIGMS TO ESTIMATE THE EVOLUTION OF SOCIO-ECONOMICAL INDICATORS FROM SATELLITE IMAGES
Robin Jarry, Marc Chaumont, LIRMM, France; Laure Berti-Équille, IRD, France; Gérard Subsol, LIRMM, France
TH2.R2.4: ADVERSARIAL LABEL-EFFICIENT SATELLITE IMAGE CHANGE DETECTION
Hichem Sahbi, CNRS Sorbonne University, France; Sebastien Deschamps, Sorbonne University, France
Resources
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