DocumentCode :
37691
Title :
Characterization of Facade Regularities in High-Resolution SAR Images
Author :
Auer, Stefan ; Gisinger, Christoph ; Junyi Tao
Author_Institution :
Dept. of Remote Sensing Technol., Tech. Univ. Munchen (TUM), München, Germany
Volume :
53
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
2727
Lastpage :
2737
Abstract :
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.
Keywords :
geophysical image processing; image resolution; radar imaging; remote sensing by radar; synthetic aperture radar; facade regularities; facade structures; geocoded SAR images; high resolution SAR images; intensity distribution; linear arrangement; persistent scatterer interferometry; point-like signature; regularly distributed signature patterns; synthetic aperture radar; Algorithm design and analysis; Azimuth; Buildings; Context; Data mining; Feature extraction; Synthetic aperture radar; Grouping; TerraSAR-X; high-resolution synthetic aperture radar (SAR); pattern recognition; simulation; spectral analysis; urban;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2014.2364076
Filename :
6954425
Link To Document :
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