期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2010
卷号:XXXVIII - Part 3A
页码:1-6
出版社:Copernicus Publications
摘要: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: .amingos, 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
关键词:shape extraction; marked point process; RJMCMC; simulated annealing; SEM