DocumentCode :
699190
Title :
A discontinuity detector for building extraction from Digital Elevation Models by stochastic geometry
Author :
Ortner, Mathias ; Descombes, Xavier ; Zerubia, Josiane
Author_Institution :
Ariana-Joint Res. Group, UNSA, Sophia Antipolis, France
fYear :
2004
fDate :
6-10 Sept. 2004
Firstpage :
1621
Lastpage :
1624
Abstract :
This work presents a framework to use stochastic geometry for automatic building extraction from different kinds of Digital Elevation Models (DEM). The goal is to extract some vectorial information from a DEM in order to ease precise 3 dimensional reconstruction. Using a spatial point process framework, we model cities as configurations of unknown number of rectangles. An energy is defined, which takes into account both a low level information provided by the altimetry of the scene, and some geometric knowledge on the location of buildings in towns. The estimation is done by minimizing an energy using simulated annealing. We present results on real data provided by IGN (French National Geographic Institute) consisting of laser and optical DEMs.
Keywords :
digital elevation models; geometry; image reconstruction; minimisation; object detection; simulated annealing; stochastic processes; 3-dimensional reconstruction; French National Geographic Institute; IGN; automatic building extraction; building extraction; building location; digital elevation model; discontinuity detector; energy minimization; geometric knowledge; laser DEM; optical DEM; simulated annealing; stochastic geometry; Abstracts; Biological system modeling; Image color analysis; Image resolution; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
Type :
conf
Filename :
7079720
Link To Document :
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