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

Saima Ben Hadj (1) , Florent Chatelain (2) , Xavier Descombes (1) , Josiane Zerubia (1)

1 ARIANA - Inverse problems in earth monitoring
2 GIPSA-SAIGA - GIPSA - Signal et Automatique pour la surveillance, le diagnostic et la biomécanique

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.

Mots clés: SEM; Shape extraction; marked point process; RJMCMC; simulated annealing; SEM.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing images. ISPRS Technical Commission III Symposium on Photogrammetry Computer Vision and Image Analysis (PCV 2010), Sep 2010, Paris, France. pp.1. ⟨hal-00526345⟩