Multi-modal change detection, application to the detection of flooded areas: outcome of the 2009-2010 data fusion contest
2012
Abstract
The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion.
Details
Title
Multi-modal change detection, application to the detection of flooded areas: outcome of the 2009-2010 data fusion contest
Author(s)
Longbotham, N. ; Pacifici, F. ; Glenn, T. ; Zare, A. ; Volpi, M. ; Tuia, D. ; Christophe, E. ; Michel, J. ; Inglada, J. ; Chanussot, J. ; Du, Q.
Published in
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume
5
Issue
1
Pages
331-342
Date
2012
Keywords
Change detection; data fusion; decision fusion; flood detection; high spatial resolution; optical; synthetic aperture radar; Unsupervised Change Detection; Remote-Sensing Data; Artificial Neural-Networks; Support Vector Machines; Multispectral Images; Multitemporal Images; Satellite Imagery; Sensed Data; Sar Images; Classification
Other identifier(s)
View record in Web of Science
Laboratories
LASIG
Record Appears in
Scientific production and competences > ENAC - School of Architecture, Civil and Environmental Engineering > IIE - Environmental Engineering Institute > LASIG - Geographic Information Systems Laboratory
Work produced at EPFL
Journal Articles
Published
Work produced at EPFL
Journal Articles
Published
Record creation date
2012-01-24