An overview is given on the possibility to achieve a 3-D, tomographic reconstruction of the illuminated area by using multiple passes of Synthetic Aperture Radar (SAR) system. This possibility is given in SAR interferometry by a non-linear processing that represents the simplest case of multi-acquisition. In particular, the Singular Value Decomposition (SVD) method is applied to get a "suitable" solution, able at managing the uneven track distribution and to properly account for any a-prior knowledge about the support of the object function to increase the resolution limits.

Multi-pass synthetic aperture radar for 3-D focusing

Berardino P;Fornaro G;Lanari R;Sansosti E;Serafino F;Soldovieri;
2002

Abstract

An overview is given on the possibility to achieve a 3-D, tomographic reconstruction of the illuminated area by using multiple passes of Synthetic Aperture Radar (SAR) system. This possibility is given in SAR interferometry by a non-linear processing that represents the simplest case of multi-acquisition. In particular, the Singular Value Decomposition (SVD) method is applied to get a "suitable" solution, able at managing the uneven track distribution and to properly account for any a-prior knowledge about the support of the object function to increase the resolution limits.
2002
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
0-7803-7031-7
Bandwidth
Focusing
Interferometry
Inverse problems
Radar imaging
Remote sensing
Tomography
Radiation penetration depth
Singular value decomposition
Synthetic aperture radar
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/217775
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