Skip to Main content Skip to Navigation
Conference papers

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

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-01418677
Contributor : Yue Huang <>
Submitted on : Monday, December 19, 2016 - 12:07:26 PM
Last modification on : Tuesday, January 26, 2021 - 2:18:02 PM
Long-term archiving on: : Tuesday, March 21, 2017 - 4:21:18 AM

File

EUSAR_final_yue.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01418677, version 1

Citation

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⟩

Share

Metrics

Record views

471

Files downloads

99