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Conference Papers Year : 2020

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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Dates and versions

hal-02954656 , version 1 (01-10-2020)

Identifiers

  • HAL Id : hal-02954656 , version 1

Cite

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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