A Region-based Matching Approach for 3D-Roof Reconstruction from HR Satellite Stereo Pairs

This study is a part of a global project on urban scenes interpretation using high resolution satellite images. Actually, the research is focused on buildings and roads are used to delineate zones of interest. This study details automatic reconstruction of 3D facets using a region matching approach based on hierarchical segmentation of images. The novelty consists in dedicating algorithms to satellital context to make them more robust to noise and to deal with low stereopair Base to Height ratio. First of all, a hierarchical segmentation process is explained, then matching regions constraints are detailed. Afterwards, optimal cuts, which corresponds to a set of regions that are likely to represent building rooftops, are processed in both hierarchies. Cuts are processed given matching scores and using regions planarity constraint. In the third part, global matching of both cuts is processed in order to obtain final matchings which will allow 3D scene reconstruction. Eventually, some results are presented.