DocumentCode :
143097
Title :
Automatic large area reconstruction of building façades from spaceborne TomoSAR point clouds
Author :
Shahzad, Muhammad ; Xiao Xiang Zhu
Author_Institution :
Dept. of Remote Sensing Technol., Tech. Univ. Munich, Munich, Germany
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
1548
Lastpage :
1551
Abstract :
Improved resolution of SAR sensors and advanced multipass interferometric techniques, such as tomographic SAR inversion (TomoSAR), opens up new possibilities of 4D (or even higher dimensional) imaging that can be potentially used to reconstruct dynamic models of entire cities, i.e., city models that can incorporate temporal (motion) behaviour along with the 3D information. Motivated by these chances, this paper presents an approach that systematically allows automatic reconstruction of building façades from 4D point cloud generated from tomographic SAR processing and put particular focus on robust reconstruction of large areas. The approach is modular and is illustrated/validated by examples using TomoSAR point clouds generated from a stack of TerraSAR-X high-resolution spotlight images from ascending orbit covering approx. 2 km2 high rise area in the city of Las Vegas.
Keywords :
buildings (structures); geophysical image processing; image reconstruction; radar imaging; radar interferometry; remote sensing by radar; spaceborne radar; synthetic aperture radar; 3D information; 4D imaging; 4D point cloud; Las Vegas; SAR sensors; TerraSAR-X high-resolution spotlight images; advanced multipass interferometric techniques; ascending orbit; automatic large area reconstruction; building façades; city models; dynamic models; entire cities; spaceborne TomoSAR point clouds; tomographic SAR inversion; tomographic SAR processing; Buildings; Cities and towns; Image reconstruction; Polynomials; Robustness; Synthetic aperture radar; Three-dimensional displays; 4D city model; TerraSAR-X; TomoSAR; façade reconstruction; point cloud;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946734
Filename :
6946734
Link To Document :
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