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Communication Dans Un Congrès Année : 2016

3D imaging for underfoliage targets using L-band multibaseline polinsar data and sparse estimation methods

Yue Huang
Jacques Levy Vehel
  • Fonction : Auteur

Résumé

SAR imaging of concealed targets beneath the canopies has to face a complex mixture of diverse scattering mechanisms. To characterize this complex scattering environment, nonpara-metric 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 scat-terers such as forest canopies. To overcome these limitations, this paper addresses a new wavelet-based sparse estimation method for 3D imaging and characterization for underfoliage objects. The effectiveness of this new approach is demonstrated by using L-band Multi-Baseline PolInSAR Data over Dornstetten, Germany.
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Dates et versions

hal-01418435 , version 1 (19-12-2016)

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Yue Huang, Jacques Levy Vehel, Laurent Ferro-Famil, Andreas Reigber. 3D imaging for underfoliage targets using L-band multibaseline polinsar data and sparse estimation methods. IGARSS 2016 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, China. ⟨10.1109/igarss.2016.7729373⟩. ⟨hal-01418435⟩
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