WE3.R2.1

A NOVEL CHANGE POINT DETECTION METHOD FOR DATA CUBES OF SATELLITE IMAGE TIME SERIES

Mattia Stasolla, Xavier Neyt, Royal Military Academy, Belgium
Session:
WE3.R2: Analysis of Satellite Image Time Series Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Wed, 19 Jul, 13:00 - 13:12 Pacific Time (UTC -8)
Session Chair:
Marc Rußwurm, EPFL
Session Manager:
Coryn Wolk
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Session WE3.R2
WE3.R2.1: A NOVEL CHANGE POINT DETECTION METHOD FOR DATA CUBES OF SATELLITE IMAGE TIME SERIES
Mattia Stasolla, Xavier Neyt, Royal Military Academy, Belgium
WE3.R2.2: A LATENT ANALYSIS OF A SUPER-RESOLVED SENTINEL -2 DATA CUBE FOR GREEN URBAN INFRASTRUCTURE HEALTH MONITORING
Corina VĂDUVA, Daniela FAUR, Alexandru GRIVEI, Vlad VASILESCU, Mihai DATCU, Politehnica University of Bucharest, Romania
WE3.R2.3: ITERATIVE ANNOTATION OF SOLAR PANEL PLANTS IN SENTINEL 2 IMAGERY
Tristan Dagobert, Franco Marchesoni-Acland, Carlo De Franchis, École Normale Supérieure Paris-Saclay, France; Jacky Kaub, Kayrros, France; Jean-Michel Morel, École Normale Supérieure Paris-Saclay, France
WE3.R2.4: AN INTRODUCTION TO FREQUENCY-BASED SIMILAR PIXEL SELECTION IN MULTITEMPORAL SAR IMAGES
Rasoul Eskandari, Marco Scaioni, Politecnico di Milano, Italy
WE3.R2.5: A MULTI-FEATURE HYPER-TEMPORAL CHANGE VECTOR ANALYSIS METHOD FOR CHANGE DETECTION IN MULTI-ANNUAL TIME SERIES OF HR SATELLITE IMAGES
Khatereh Meshkini, Fondazione Bruno Kessler (FBK), University of Trento, Italy; Francesca Bovolo, Fondazione Bruno Kessler (FBK), Italy; Lorenzo Bruzzone, University of Trento, Italy
Resources
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