DocumentCode :
1567770
Title :
An Automatic Building Reconstruction Method : A Structural Approach using High Resolution Satellite Images
Author :
Lafarge, F. ; Descombes, Xavier ; Zerubia, Josiane ; Pierrot-Deseilligny, Marc
Author_Institution :
INRIA, Ariana Res. Group, Sophia Antipolis, France
fYear :
2006
Firstpage :
1205
Lastpage :
1208
Abstract :
We present an automatic 3D city model of dense urban areas from HR satellite data. The proposed method is developed using a structural approach: we construct complex buildings by merging simple parametric models with rectangular ground footprint. To do so, an automatic building extraction method based on marked point processes is used to provide rectangular building footprints. A collection of 3D parametric models is defined in order to be fixed onto these building footprints. A Bayesian framework including both prior knowledge of models and their interactions, and a likelihood fitting them to the digital elevation model, is then used. A simulated annealing scheme allows to find the configuration which maximizes the posterior density of the Bayesian expression.
Keywords :
Bayes methods; building; feature extraction; geophysical signal processing; image reconstruction; image resolution; remote sensing; simulated annealing; Bayesian framework; automatic 3D city model; automatic building extraction method; digital elevation model; high resolution satellite image; marked point process; rectangular ground footprint; simulated annealing scheme; structural approach; Bayesian methods; Buildings; Cities and towns; Data mining; Image resolution; Merging; Parametric statistics; Reconstruction algorithms; Satellites; Urban areas; 3D reconstruction; Digital Elevation Model; RJMCMC; building; structural approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312541
Filename :
4106752
Link To Document :
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