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
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
2 GIPSA-SAIGA - SAIGA
GIPSA-DA - Département Automatique, GIPSA-DIS - Département Images et Signal
Abstract : 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.
Type de document :
Communication dans un congrès
ISPRS Technical Commission III Symposium on Photogrammetry Computer Vision and Image Analysis (PCV 2010), Sep 2010, Paris, France. pp.1, 2010
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Contributeur : Saima Ben Hadj <>
Soumis le : jeudi 14 octobre 2010 - 13:20:20
Dernière modification le : mercredi 17 juin 2015 - 01:17:00
Document(s) archivé(s) le : samedi 15 janvier 2011 - 02:28:18

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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, 2010. <hal-00526345>

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