Elevation and Deformation Estimation based on TomoSAR

With respect to classical interferometry SAR approaches, SAR-tomography-based approaches have better capabilities in monitoring urban structures. Considering the sparsity of the signal in elevation and the interference of the clutter noise to scatters' accurate location, first, a preliminary identification of the building is obtained by filtering out the weak scattering region according to image coherence and luminance information, then, the fused least absolute shrinkage and selection operator compressive sensing (Fused Lasso CS) algorithm is applied to pixels of building regions in this paper. The above method is applied to real data, and urban structures elevation estimation and urban area deformation monitoring of Barcelona is presented.