In this paper two recently proposed approaches for 3D reconstruction by synthetic aperture radar imagery acquired from multiple aspects and multiple baselines are compared. Both are based on maximum-likelihood estimation frameworks; the first one aims at simultaneous fusion of multi-aspect multi-baseline InSAR data in world geometry using a backward geocoding formulation, while the second approach starts by applying tomographic SAR inversion in the image domains of the individual aspects, before the resulting 3D point clouds are fused by geocoding them into a common reference system. Real data results for both approaches are shown, and their advantages and disadvantages are discussed.
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In this paper two recently proposed approaches for 3D reconstruction by synthetic aperture radar imagery acquired from multiple aspects and multiple baselines are compared. Both are based on maximum-likelihood estimation frameworks; the first one aims at simultaneous fusion of multi-aspect multi-baseline InSAR data in world geometry using a backward geocoding formulation, while the second approach starts by applying tomographic SAR inversion in the image domains of the individual aspects, befor...
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