A quantitative analysis of the SBAS algorithm performance

Author

Berardino, Paolo ; Casu, F. ; Fornaro, Gianfranco ; Lanari, R. ; Manunta, M. ; Manzo, Mario ; Sansosti, E.

Author_Institution

Ist. per il Rilevamento Elettromagnetico dell´Ambiente, National Res. Council of Italy

Volume

5

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

3321

Abstract

The Small BAseline Subset (SBAS) approach is a differential synthetic aperture radar interferometry (DIFSAR) technique that allows analyzing deformation phenomena affecting both extended area and localized structures, by exploiting the phase difference of SAR image pairs characterized by small baselines. In this work we process a large set of ERS-1/2 data, acquired from ascending and descending orbits, at both small and large scale resolution and extend the obtained time series with available ENVISAT acquisitions. The results, relevant to the Napoli Bay area (Italy), are compared with geodetic and GPS data in order to achieve a quantitative analysis of the SABS algorithm performances

Keywords

Global Positioning System; data acquisition; geodesy; geomorphology; image resolution; radiowave interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; time series; topography (Earth); DIFSAR technique; ENVISAT acquisitions; ERS-1 data; ERS-2 data; ERS-ENVISAT integration; GPS data; Global Positioning System; Italy; Napoli Bay area; SAR image pair phase difference; SBAS algorithm; Small BAseline Subset; ascending orbits; data acquisition; deformation phenomena; descending orbits; differential SAR interferometry; extended area; geodetic data; ground deformations; image resolution; localized structures; quantitative analysis; synthetic aperture radar; time series; Algorithm design and analysis; Area measurement; Extraterrestrial measurements; Image analysis; Orbits; Performance analysis; Satellites; Synthetic aperture radar; Synthetic aperture radar interferometry; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370414

Filename

1370414