3D Characterization of Underfoliage Targets Using L-band To- mographic SAR Data and A Wavelet-Based Approach - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

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

Yue Huang
Jacques Lévy Véhel
  • Function : Author
Andreas Reigber
  • Function : Author
  • PersonId : 943584
Stefano Fortunati

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.
Fichier principal
Vignette du fichier
EUSAR_final_yue.pdf (1.12 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01418677 , version 1 (19-12-2016)

Identifiers

  • HAL Id : hal-01418677 , version 1

Cite

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⟩
340 View
74 Download

Share

Gmail Facebook Twitter LinkedIn More