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