July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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Paper Detail

Paper Title DETECTING URBAN CHANGES WITH RECURRENT NEURAL NETWORKS FROM MULTITEMPORAL SENTINEL-2 DATA
Paper IdentifierTU2.R11.5
Authors Maria Papadomanolaki, National Technical University of Athens, Greece; Sagar Verma, Maria Vakalopoulou, CentraleSupélec, Université Paris-Saclay, France; Siddharth Gupta, Granular AI, United States; Konstantinos Karantzalos, National Technical University of Athens, Greece
Session Deep Learning in Multitemporal Analysis
Location Room 419
Session Time Tuesday, 30 July, 12:00 - 12:20
Presentation Time Tuesday, 30 July, 12:00 - 12:20
Presentation Mode Oral
Topic Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Change Detection and Multi-Temporal Analysis