Paper Info
Title
Point Processes Of Segments And Rectangles For Building Extraction From Digital Elevation Models
Abstract
In this work, we propose a new model based on stochastic geometry for extracting features from images. This type of model allows the incorporation of a prior knowledge on the interactions between features within the extraction process. We focus on the specific problem of automatic building extraction from Digital Elevation Models (DEMs). The model we propose is based on two interacting spatial point processes, the former being a process of rectangles, the latter a process of segments. An energy associated with the resulting process is defined. This energy consists in five main parts. We first define two energy data terms to make the rectangles fit the homogeneous areas and the segments fit meaningful discontinuities. Two prior terms favoring respectively the alignment of rectangles and the connection of segments are incorporated. The last part of the energy is an interaction term that makes the two types of objects cooperate. We present results on real data provided by the IGN (French Geographic Institute).
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1660301
2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13
Keywords
Field
DocType
stochastic processes,digital elevation model,shape,feature extraction,digital elevation models,geometry,image reconstruction,point process,layout,stochastic geometry,solid modeling,building
Stochastic geometry,Iterative reconstruction,Classification of discontinuities,Pattern recognition,Computer science,Point process,Stochastic process,Feature extraction,Digital elevation model,Solid modeling,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.54
References 
Authors
2
3
Name
Order
Citations
PageRank
Mathias Ortner17810.81
Xavier Descombes269379.43
Josiane Zerubia32032232.91