Multibaseline SAR interferometry

Andrea Monti Guarnieri(1) , Gianfranco Fornaro(2) , Antonio Pauciullo(2) , and Stefano Tebaldini(3)

(1) Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy
(2) CNR-IREA, Via Diocleziano 38, 80124, Napoli, Italy
(3) politecnico di milano, piazza leonardo da vinci, 32, 20133, Milano, Italy

Abstract

The main focus of the paper is the comparison of optimal techniques to exploit coherent combinations of multiple SAR image, either multibaseline or multifrequency, for applications like Digital Elevation Model production, and change detection and measurements. In the paper, we summarize the result of techniques already proposed, most of them framed in the Single-Input-Multiple-Output (SIMO) blind deconvolution approach, like the Extended Cross Relation approach, and we compare these approach with the Maximum Likelihood estimate. The goal of these technique is to provide the most accurate estimate of the local phase gradient, that may be due to topography or motion (subsidences, earthquakes etc.), and to face at the same time the derivation of the atmospheric phase screen. We will then discuss the implementation details of these technique and make a comparison based on a real data-set of ENVISAT-ASAR repeat-pass acquisitions.

 

Workshop presentation

 

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