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Regularized SAR Tomography Approaches

Abstract : Synthetic Aperture Radar (SAR) tomographic techniques enable the reconstruction of the scene scattering structure along the vertical direction and can provide the temporal evolution of a cloud of reliable points located in the 3D space. The use of Generalized Likelihood Ratio Test approaches have been shown to be effective in selecting reliable multiple scatter-ers. Recently regularized tomographic methods have been proposed for increasing the density of the recovered scatterers in urban environments. This paper discusses the differences between these two approaches and performs a comparison of reconstruction results obtained from a stack of TerraSAR-X images, in a region of interest located in the city of Paris, France.
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Contributor : Florence Tupin <>
Submitted on : Thursday, October 1, 2020 - 11:18:17 AM
Last modification on : Thursday, October 8, 2020 - 4:15:28 PM


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  • HAL Id : hal-02954656, version 1


Alessandra Budillon, Loïc Denis, Clément Rambour, Gilda Schirinzi, Florence Tupin. Regularized SAR Tomography Approaches. IGARSS (IEEE International Geoscience and Remote Sensing Symposium), Sep 2020, Hawaï, United States. ⟨hal-02954656⟩



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