SAR TOMOGRAPHY OF URBAN AREAS: 3D REGULARIZED INVERSION IN THE SCENE GEOMETRY

Clement Rambour (1, 2) , L. Denis (3) , Florence Tupin (1, 2) , Jean-Marie Nicolas (1, 2) , Hélène Oriot

1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
2 IDS - Département Images, Données, Signal
3 LHC - Laboratoire Hubert Curien

Starting from a stack of co-registered SAR images in inter- ferometric configuration, SAR tomography performs a recon- struction of the reflectivity of scatterers in 3-D. Scatterers seen within the same resolution cell in each SAR image can be separated by jointly unmixing the SAR complex ampli- tude observed throughout the stack. In urban areas, Com- press Sensing (CS) approaches have been applied to achieve super-resolution in the estimation of the position of the scat- terers. However, even if all the local information coming from a stack at a given pixel is used, the structural information that is inherent to the image is not directly used to improve the rendering of the scene. This paper addresses the problem of adding structural constraints to sparse tomographic recon- structions of urban areas. We derive an algorithm allowing the inversion of tomographic data under structural constraints and illustrate its performances on a stack of Spotlight TerraSAR- X images.

Keywords: SAR tomography; structural information; spatial regularization

Domains: Image Processing [eess.IV]

Clement Rambour, L. Denis, Florence Tupin, Jean-Marie Nicolas, Hélène Oriot. SAR TOMOGRAPHY OF URBAN AREAS: 3D REGULARIZED INVERSION IN THE SCENE GEOMETRY. IGARSS, Jul 2018, Valencia, Spain. ⟨hal-01860253⟩