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Reconstructing 2-D/3-D Building Shapes From Spaceborne Tomographic SAR Point Clouds

Shahzad, Muhammad and Zhu, Xiao Xiang (2014) Reconstructing 2-D/3-D Building Shapes From Spaceborne Tomographic SAR Point Clouds. In: 3rd ISPRS Commission Symposium on Photogrammetric Computer Vision (ISSN: 0031-868X), XL-3, pp. 313-320. ISPRS. Photogrammetric Computer Vision PCV 2014, 05-07 Sep 2014, Zurich, Switzerland. DOI: 10.5194/isprsarchives-XL-3-313-2014 ISSN 0031-868X

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/313/2014/isprsarchives-XL-3-313-2014.html

Abstract

In this paper, we present an approach that allows automatic (parametric) reconstruction of building shapes in 2-D/3-D using TomoSAR point clouds. These point clouds are generated by processing radar image stacks via advanced interferometric technique, called SAR tomography. The proposed approach reconstructs the building outline by exploiting both the available roof and façade information. Roof points are extracted out by employing a surface normals based region growing procedure via selected seed points while the extraction of façade points is based on thresholding the point scatterer density SD estimated by robust M-estimator. Spatial clustering is then applied to the extracted roof points in a way such that each roof cluster represents an individual building. Extracted façade points are reconstructed and afterwards incorporated to the segmented roof cluster to reconstruct the complete building shape. Initial building footprints are derived by employing alpha shapes method that are later regularized. Finally, rectilinear constraints are added to yield better geometrically looking building shapes. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated from a stack of TerraSAR-X high-resolution spotlight images from ascending orbit only covering two different test areas with one containing relatively smaller buildings in densely populated regions and the other containing moderate sized buildings in the city of Las Vegas.

Item URL in elib:https://elib.dlr.de/90397/
Document Type:Conference or Workshop Item (Poster)
Title:Reconstructing 2-D/3-D Building Shapes From Spaceborne Tomographic SAR Point Clouds
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shahzad, Muhammadmuhammad.shahzad (at) bv.tum.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:3rd ISPRS Commission Symposium on Photogrammetric Computer Vision (ISSN: 0031-868X)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:XL-3
DOI :10.5194/isprsarchives-XL-3-313-2014
Page Range:pp. 313-320
Editors:
EditorsEmail
Schindler, KonradETH Zürich, Switzerland
Paparoditis, NicolasUniversit´e Paris Est, France
Publisher:ISPRS
ISSN:0031-868X
Status:Published
Keywords:tomosar, building reconstruction, point cloud
Event Title:Photogrammetric Computer Vision PCV 2014
Event Location:Zurich, Switzerland
Event Type:international Conference
Event Dates:05-07 Sep 2014
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Shahzad, Muhammad
Deposited On:29 Aug 2014 11:42
Last Modified:31 Jul 2019 19:47

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