Abstract
Space borne implementations of SAR tomography (TomoSAR) for forest volumes are particularly challenging, as the estimation of 3D reflectivity has to be carried out relying on a small number of acquisitions (or interferometric coherences) and/or non-uniform baseline distributions. A way to overcome this shortcoming is to approximate the reflectivity profile by a weighted series of functions, as for example proposed in the case of Polarization Coherence Tomography (PCT). In this case the individual weights can be estimated from a rather small number of interferometric coherences. In this work, we investigate how conventional TomoSAR can be linked to PCT by means of a suitable function basis. A real data analysis is carried out on TomoSAR reflectivity profiles obtained from a data set acquired in an airborne campaign over a temperate forest.
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