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.
Persistent Point Scatterer analysis in Cosmo SkyMed SAR data / Guccione, Pietro; Zonno, M; Mascolo, Luigi. - (2013), pp. 4495-4498. (Intervento presentato al convegno 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 tenutosi a Melbourne, Australia nel July 21-26, 2013) [10.1109/IGARSS.2013.6723834].
Persistent Point Scatterer analysis in Cosmo SkyMed SAR data
GUCCIONE, Pietro;MASCOLO, Luigi
2013-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
