3D Characterization of Underfoliage Targets Using L-band To- mographic SAR Data and A Wavelet-Based Approach

Yue Huang 1 Jacques Lévy Véhel 1 Laurent Ferro-Famil 2 Andreas Reigber 3 Stefano Fortunati 4
1 ANJA - ANJA
Inria Rennes – Bretagne Atlantique
2 IETR - Institut d'Electronique et de Télécommunications de Rennes
3 DLR - German Aerospace Center
4 Dipartimento di Informatica [Pisa]
Abstract : SAR imaging of underfoliage targets has to face a complex mixture of diverse scattering mechanisms. To characterize this complex scattering environment, nonparametric tomographic estimators are more robust to focusing artefacts but limited in resolution. Parametric tomographic estimators provide better vertical resolution but fail to adequately characterize continuously distributed volumetric scatterers such as forest canopies. To overcome these limitations, this paper addresses a new wavelet-based approach for 3D characterization of underfoliage targets. The effectiveness of this new approach is demonstrated by using L-band Multi-Baseline PolInSAR Data over Dornstetten, Germany.
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Communication dans un congrès
EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar, Jun 2016, Hamburg, Germany
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Dernière modification le : mercredi 19 septembre 2018 - 15:42:03
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Yue Huang, Jacques Lévy Véhel, Laurent Ferro-Famil, Andreas Reigber, Stefano Fortunati. 3D Characterization of Underfoliage Targets Using L-band To- mographic SAR Data and A Wavelet-Based Approach. EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar, Jun 2016, Hamburg, Germany. 〈hal-01418677〉

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