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Robust Reconstruction of Building Façades for Large Areas Using Spaceborne TomoSAR Point Clouds

Shahzad, Muhammad and Zhu, Xiao Xiang (2015) Robust Reconstruction of Building Façades for Large Areas Using Spaceborne TomoSAR Point Clouds. IEEE Transactions on Geoscience and Remote Sensing, 53 (2), pp. 752-769. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2014.2327391. ISSN 0196-2892.

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6842672


With data provided by modern meter-resolution SAR sensors and advanced multi-pass interferometric techniques such as tomographic SAR inversion (TomoSAR), it is now possible to reconstruct the shape and monitor the undergoing motion of urban infrastructures on the scale of centimeters or even millimeters from space in very high level of details. The retrieval of rich information allows us to take a step further towards generation of 4-D (or even higher dimensional) dynamic city models, i.e. city models that can incorporate temporal (motion) behaviour along with the 3-D information. Motivated by these opportunities, the authors proposed an approach that first attempts to reconstruct façades from this class of data. The approach works well for small areas containing only a couple of buildings. Yet towards automatic reconstruction for the whole city area, a more robust and fully automatic approach is needed. In this paper, we present a complete extended approach for automatic (parametric) reconstruction of building façades from 4-D TomoSAR point cloud data and put particular focus on robust reconstruction of large areas. 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 covering approx. 2 km2 high rise area in the city of Las Vegas.

Item URL in elib:https://elib.dlr.de/89281/
Document Type:Article
Title:Robust Reconstruction of Building Façades for Large Areas Using Spaceborne TomoSAR Point Clouds
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Shahzad, Muhammadmuhammad.shahzad (at) bv.tum.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:February 2015
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/TGRS.2014.2327391
Page Range:pp. 752-769
EditorsEmailEditor's ORCID iD
Plaza, Antonio J.aplaza@unex.esUNSPECIFIED
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:façade reconstruction, 4-D point cloud, TerraSAR-X, tomographic SAR inversion, clustering, point density
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Shahzad, Muhammad
Deposited On:17 Dec 2014 07:07
Last Modified:31 Jul 2019 19:46

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