A Decision Fusion method to Interpret Faults using Multi-Source Remote Sensing Data

This paper summarizes the different interpretation methods using remote sensing data to detect Faults. As different data sources have respective advantages in the extraction of structural information, the paper proposes a decision fusion method to interpret faults using the ETM+ images, SPOT5 images and DEM data. The experiments show the effectiveness of the method. The research provides the basis for regional geological surveys and crustal stability assessment. Keywords-Multi-source; Faults; Decision Fusion; Spectrum Feature; Morphological Feature