DocumentCode :
56788
Title :
Power Spectra of Very High Resolution SAR Amplitude Images of Urban Areas
Author :
Di Martino, Gerardo ; Iodice, Antonio ; Riccio, Daniele ; Ruello, Giuseppe
Author_Institution :
Dipt. di Ing. Elettr. e delle Tecnol. dell´Inf., Univ. di Napoli Federico II, Naples, Italy
Volume :
7
Issue :
7
fYear :
2014
fDate :
Jul-14
Firstpage :
2723
Lastpage :
2731
Abstract :
With the launch of COSMO/SkyMed and TerraSARX missions, very high resolution (VHR) Synthetic Aperture Radar (SAR) images of urban areas have become routinely available. In particular, in the spotlight acquisition mode, COSMO/SkyMed SARs are able to obtain a resolution even better than one meter. Accordingly, in principle a huge amount of information on objects present in the urban scenario can be extracted from such images; however, due to the involved interaction between incident electromagnetic wave and imaged scene, direct interpretation of VHR SAR images is not straightforward, and different methods to analyze them are being developed by the scientific community. In this paper, we explore the potentiality of using the power spectral density (PSD) of VHR SAR amplitude images of urban areas for information extraction. First, we propose a theoretical model of the PSD of such images, and then we test the validity of the developed model on COSMO/SkyMed spotlight SAR images of urban areas. Finally, some suggestions are provided on how the parameters of the obtained PSD can be exploited to extract useful information from VHR SAR amplitude images of urban areas.
Keywords :
geophysical image processing; image resolution; radar imaging; radar resolution; synthetic aperture radar; COSMO/SkyMed; PSD; TerraSAR-X mission; VHR synthetic aperture radar imaging; incident electromagnetic wave; information extraction; power spectral density; spotlight acquisition mode; very high resolution SAR amplitude imaging; Azimuth; Buildings; Fourier transforms; Image resolution; Shape; Synthetic aperture radar; Urban areas; Parameter retrieval; power spectrum; synthetic aperture radar (SAR); urban areas; very high resolution (VHR);
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2014.2311174
Filename :
6781005
Link To Document :
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