High-Resolution Adaptive 3-D Urban Reconstruction Using Frugal Polarimetric Tomographic SAR Focusing Techniques

This paper addresses the 3-D urban reconstruction using a minimal number of acquisitions, i.e. only 3 acquistions. To overcome the limitations of conventional tomographic techniques encountered in the urban characterization, a polarimetric model-adaptive tomographic estimator, FP-SSF, is proposed, and solved by the proposed polarimetric alternating projection technique. Meanwhile, a new solution for FP-DML technique is derived as a variant, whose performance is evaluated using simulations and compared to the one of FP-SSF estimator. Moreover, the efffectiveness of FP-SSF estimator is demonstrated by using a dual-baseline PolInSAR data set acquired by DLR's ESAR sensor at L-band over urban areas of Dresden. The results are validated against the ground truth derived from LiDAR data.