Feature based maximum likelihood model inversion for three-dimensional building extraction from single high resolution SAR images

In this paper, a new method for three-dimensional building extraction from building specific low-level features is presented. This method, which addresses both building detection and building parameter estimation, relies on a maximum likelihood model inversion performed from low-level primitives, after they have been extracted from a single SAR HR amplitude image. The effectiveness of the proposed approach, which has been designed so as to robustly deal with noisy primitives, is demonstrated on a TerraSar-X image.