Multi-modal change detection, application to the detection of flooded areas: outcome of the 2009-2010 data fusion contest
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.
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
Record created on 2012-01-24, modified on 2016-08-09