Matching of multi-resolution image for remote sensing glacier detection
Résumé
Multi-resolution images provide a rich source of information but the combination of the data still difficult due to their different characteristics. In this paper, a fusion approach of multi-source data is presented. A common space for information representation is generated by selecting points of interest that are then connected through a Delaunay triangulation. The obtained topology allows the classification of the landforms based on all the available attributes. The approach is illustrated on glacier detection in Alps mountains.