DocumentCode :
670093
Title :
An advanced InSAR algorithm for surface deformation monitoring: SqueeSARTM
Author :
Kuzuoka, Shigeaki ; Ferretti, Anna ; Novali, Fabrizio
Author_Institution :
Satellite Bus. Network, Yokohama, Japan
fYear :
2013
fDate :
23-27 Sept. 2013
Firstpage :
336
Lastpage :
337
Abstract :
Permanent Scatterer SAR Interferometry (PSInSAR) algorithm identifies coherent radar targets (PS) to detect and monitor surface deformation phenomena. PS typically correspond to point-wise, man-made objects widely available in urban areas. Sometimes, however, it is difficult to apply this technology for un-urban areas, due to a much lower spatial density of PS. To overcome the limit of PSInSAR and increase the spatial density of measurement points in un-urban areas, a new algorithm for processing interferometric data-stacks has been developed. It can measure the surface deformation not only from point-wise deterministic objects (i.e., PS), but also from distributed scatterers (DS) corresponding to areas of homogeneous pixels exhibiting good phase coherence in a subset of interferograms. In this paper we introduce a new approach, SqueeSARTM, to jointly process PS and DS, taking into account their different statistical behavior.
Keywords :
geomorphology; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; PSInSAR limit; Permanent Scatterer SAR Interferometry; SqueeSAR; advanced InSAR algorithm; coherent radar targets; homogeneous pixels; interferometric data-stacks; man-made object; point-wise deterministic objects; surface deformation monitoring; surface deformation phenomena; un-urban areas; Geophysical measurements; Monitoring; Signal processing algorithms; Signal to noise ratio; Spaceborne radar; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
Conference_Location :
Tsukuba
Type :
conf
Filename :
6705083
Link To Document :
بازگشت