Matching of multi-resolution image for remote sensing glacier detection

Multi-resolution images provide a rich source of information but the combining of their data is still difficult due to their different characteristics. In this paper, a multi-source data fusion approach 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 landforms based on all the available attributes. This approach is illustrated on glacier detection in Alps mountains.