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| | Abstract | | Permanent Scatterer SAR Interferometry (PSInSAR) was the pioneer of the so-called "advanced InSAR algorithms", aiming at detecting and monitoring surface deformation phenomena with satellite radar images. In PSInSAR analyses, signal processing algorithms identify coherent radar targets (PS). PS typically correspond to point-wise, man-made objects widely available in urban areas. Sometimes, however, it is difficult to apply this technology to non-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 non-urban areas, a new algorithm for processing interferometric data-stacks has been developed. It can extract geophysical parameters 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. Rather than developing hybrid processing chains where two or more algorithms are applied to the same data-set, and results are then combined, in this paper we introduce a new approach, SqueeSAR, to jointly process PS and DS, taking into account their different statistical behavior. |
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