DocumentCode :
3072787
Title :
Persistent Point Scatterer analysis in Cosmo SkyMed SAR data
Author :
Guccione, Pietro ; Zonno, M. ; Mascolo, Luigi
Author_Institution :
Dipt. di Ing. Elettr. e Inf., Politec. di Bari, Bari, Italy
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
4495
Lastpage :
4498
Abstract :
This paper addresses the problem of characterize the statistical properties of Persistent Point Scatterers (PPS) retrieved in a stack of Interferometric Synthetic Aperture Radar (InSAR) images. The set of extracted parameters can be exploited to infer information on the radiometric response of targets to microwave excitation and then on their physical nature. Amplitude, Signal-to-Noise Ratio (SNR), dispersion index and antenna similarity index (a new defined parameter) are statistically characterized for different kind of land cover, from full urban to forested areas. A stack of images in X-band, taken by the Cosmo SkyMed constellation, are used to get PPS statistics.
Keywords :
geophysical techniques; land cover; radar imaging; radar interferometry; radiometry; remote sensing by radar; statistical analysis; synthetic aperture radar; Cosmo SkyMed SAR data; Cosmo SkyMed constellation; InSAR image; PPS statistics; SNR; X-band image; amplitude; antenna similarity index; dispersion index; forested area; interferometric synthetic aperture radar; land cover; microwave excitation; parameter extraction; persistent point scatterer analysis; radiometric response; signal-to-noise ratio; statistical characterization; statistical properties; urban area; Antennas; Azimuth; Dispersion; Fitting; Indexes; Signal to noise ratio; Synthetic aperture radar; Image Analysis; Persistent Scatterers; Synthetic Aperture Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723834
Filename :
6723834
Link To Document :
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