DocumentCode
3024216
Title
Reconstruction of building façades using spaceborne multiview TomoSAR point clouds
Author
Shahzad, Muhammad ; Xiao Xiang Zhu
Author_Institution
Dept. of Remote Sensing Technol. (LMF), Tech. Univ. Munich, Munich, Germany
fYear
2013
fDate
21-26 July 2013
Firstpage
624
Lastpage
627
Abstract
In this paper we present an approach that allows automatic reconstruction of building façades from 4D point cloud generated from tomographic SAR processing. The approach is modular and works by extracting façade points from the point density projected onto the ground plane. Individual façades are segmented using an unsupervised clustering procedure. Surface (flat or curved) model parameters of the segmented building façades are further estimated and finally the geometric primitives such as intersection points of the adjacent façades are determined to complete the reconstruction process. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated from TerraSAR-X high resolution spotlight images.
Keywords
buildings (structures); feature extraction; geophysical image processing; image reconstruction; image segmentation; pattern clustering; radar imaging; radar resolution; spaceborne radar; synthetic aperture radar; 4D point cloud; TerraSAR-X high resolution spotlight image; automatic building facade reconstruction; curved surface; facade point extraction; facade segmentation; flat surface; geometric primitives; intersection points; point density; spaceborne multiview TomoSAR point clouds; surface model parameter; tomographic SAR processing; unsupervised clustering procedure; Buildings; Image reconstruction; Polynomials; Solid modeling; Surface reconstruction; Synthetic aperture radar; Three-dimensional displays; SAR tomography; TerraSAR-X; clustering; façade reconstruction; point cloud;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6721234
Filename
6721234
Link To Document