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—We present a new differential synthetic aperture radar (SAR) interferometry algorithm for monitoring the temporal evolution of surface deformations. The presented technique is based on an appropriate combination of differential interfer-ograms produced by data pairs characterized by a small orbital separation (baseline) in order to limit the spatial(More)
This article focuses on methodologies with recurrent use to code examples that try to couple with the flow of the main steps of the SAR processing. The possibility to be comprehensive was prevented by the wide scenario of variations of the focusing algorithm as well as the spread of applications. The reader should look at this work as a sample of(More)
—This paper presents a differential synthetic aperture radar (SAR) interferometry (DIFSAR) approach for investigating deformation phenomena on full-resolution DIFSAR interfer-ograms. In particular, our algorithm extends the capability of the small-baseline subset (SBAS) technique that relies on small-baseline DIFSAR interferograms only and is mainly focused(More)
AbstructIn this paper, we exploit the interferometric multifrequency potentiality of the SIR-CK-SAR system which is equipped with an L-, C-, and X-band sensor. We present a solution to improve the unwrapping performance of the Cand X-band data by considering the L-band unwrapped pattern. A new algorithm for the generation of a single digital elevation model(More)
—We present a new spotlight SAR data-focusing algorithm based on a two-step processing strategy that combines the advantages of two commonly adopted processing approaches: the efficiency of SPECAN algorithms and the precision of stripmap fo-cusing techniques. The first step of the proposed algorithm implements a linear and space-invariant azimuth filtering(More)
—In this paper, an extension of the minimum cost flow (MCF) algorithm dealing with a sparse data grid, which allows the unwrapping of multitemporal differential synthetic aperture radar (SAR) interferograms for the generation of deformation time series, is presented. The proposed approach exploits both the spatial characteristics and the temporal(More)