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Characterization of Facade Regularities in High-Resolution SAR Images

Auer, Stefan and Gisinger, Christoph and Tao, Junyi (2015) Characterization of Facade Regularities in High-Resolution SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 53 (5), pp. 2727-2737. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2014.2364076 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6954425&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A4358825)


The grammar of facade structures is often related to regularly distributed signature patterns in high-resolution synthetic aperture radar (SAR) images. Given those patterns in the imagery, they should be used as a source of information for identifying changes related to the facade. This paper presents a method for characterizing the layover area pertinent to regularly arranged facade structures, formulated on a general basis for single azimuth/range SAR images and geocoded SAR images. The analysis follows assumptions on the intensity distribution, the linear arrangement, and the regularity of point-like signatures. Two case studies on facades are presented, which confirm the applicability of the method for different building types. Based on that, the potentials and limitations of the algorithm are discussed with respect to applications such as change detection and persistent scatterer interferometry.

Item URL in elib:https://elib.dlr.de/91893/
Document Type:Article
Title:Characterization of Facade Regularities in High-Resolution SAR Images
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Auer, StefanStefan.Auer (at) dlr.deUNSPECIFIED
Gisinger, ChristophTechnische Universität München, GermanyUNSPECIFIED
Tao, JunyiJunyi.tao (at) dlr.deUNSPECIFIED
Date:May 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.2014.2364076
Page Range:pp. 2727-2737
Plaza, AntonioUniversity of Extremadura, Spain
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Grouping, high-resolution synthetic aperture radar (SAR), pattern recognition, simulation, spectral analysis, TerraSAR-X, urban
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 > Photogrammetry and Image Analysis
Deposited On:01 Dec 2014 18:17
Last Modified:31 Jul 2019 19:49

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