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Automatic detection and reconstruction of 2D/3D building shapes from spaceborne TomoSAR point clouds

Shahzad, Muhammad and Zhu, Xiao Xiang (2016) Automatic detection and reconstruction of 2D/3D building shapes from spaceborne TomoSAR point clouds. IEEE Transactions on Geoscience and Remote Sensing, 54 (3), pp. 1292-1310. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2015.2477429 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7283615

Abstract

Modern spaceborne SAR sensors such as TerraSAR-X/ TanDEM-X and COSMO-SkyMed can deliver very high resolution (VHR) data beyond the inherent spatial scales of buildings. Processing this VHR data with advanced interferometric techniques such as SAR tomography (TomoSAR) allows generation of 4D point clouds; containing not only the 3D positions of the scatterer location but also estimates of seasonal/temporal deformation on the scale of centimeters or even millimeters; making them very attractive for generating dynamic city models from space. Motivated by these chances, the authors have earlier proposed approaches that demonstrated first attempts towards reconstruction of building façades from this class of data. The approaches work well when high density of façade points exist and full shape of the building could be reconstructed if data is available from multiple views e.g., from both ascending and descending orbits. However, there are cases when no or only few façade points are available. This happens usually for lower height buildings and renders detection of façade points/regions very challenging. Moreover, problems related to the visibility of façades mainly pointing towards the azimuth direction can also cause difficulties in deriving the complete structure of individual buildings. These problems motivated us to reconstruct full 2D/3D shape of buildings via exploitation of roof points. In this paper, we present a novel and complete data driven framework for automatic (parametric) reconstruction of 2D/3D building shapes (or footprints) using unstructured TomoSAR points clouds generated particularly from one viewing angle only. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated from single viewing angle TerraSAR-X high-resolution spotlight data stacks covering two different test areas with one containing simple moderate sized buildings in the city of Las Vegas, USA and the other containing relatively complex building structures in the city of Berlin, Germany.

Item URL in elib:https://elib.dlr.de/96303/
Document Type:Article
Title:Automatic detection and reconstruction of 2D/3D building shapes from spaceborne TomoSAR point clouds
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shahzad, Muhammadmuhammad.shahzad (at) bv.tum.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:2016
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:54
DOI :10.1109/TGRS.2015.2477429
Page Range:pp. 1292-1310
Editors:
EditorsEmail
Plaza, Antonio J.University of Extremadura, Spain
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Building reconstruction, dynamic city models, TerraSAR-X, tomographic SAR (TomoSAR) inversion, 4D point cloud, building footprint, clustering.
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:26 May 2015 13:01
Last Modified:31 Jul 2019 19:53

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