Segmentation design for an automatic multisource registration

This paper deals with the description of the early phases of an automatic multisource registration method. This method is a part of a more general project that aims to register several data sources and detect the changes. We describe more specifically the requirements in terms of input data, the segmentation method used and the preprocessing useful to the adapt the feature extraction to different data sources. The segmentation is a classic region growing method that relies on an threshold taking into account the radiometric properties of each region. After the coarse definition of the segments, an iterative process comes into play to merge them according to similarity measures.