Analysis of binary land cover change detection methods using optical and radar data

This work evaluates change classifications obtained using four binary change detection methods based on region, applied to optical, Synthetic Aperture Radar (SAR) and fused data. Although optical data has presented the best results, in the cases that such data is unavailable, it is possible to detect changes with high accuracy using SAR data. The use of fused images didn´t improve change classification when compared to the use of single optical or SAR data.