Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing images

Previously, an estimation method based on the Stochastic Expectation-Maximization algorithm was studied and proved its relevance for estimating the parameters of a marked point process model in order to achieve unsupervised feature extraction from remote sensing images. This method was only applied to a simple model of a marked point process of circles. In this paper, we extend the proposed estimation method to multidimensional shapes such as ellipses and rectangles. Different types of objects have been extracted: flamingos, tree crowns, boats, and building footprints. Furthermore, some prior constraints corresponding to the alignment of boats as well as the alignment of buildings are introduced.