3D characterization of underfoliage targets using l-band tomographic SAR Data and A wavelet-based approach

Yue Huang; Jacques Levy-Vehel; Laurent Ferro-Famil; Andreas Reigber; Stefano Fortunati

3D characterization of underfoliage targets using l-band tomographic SAR Data and A wavelet-based approach

Yue Huang, Jacques Levy-Vehel, Laurent Ferro-Famil, Andreas Reigber, Stefano Fortunati

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Article number	7559405
Journal	Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Publication status	Published - 1 Jan 2016
Externally published	Yes
Event	11th European Conference on Synthetic Aperture Radar, EUSAR 2016 - Hamburg, Germany Duration: 6 Jun 2016 → 9 Jun 2016

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title = "3D characterization of underfoliage targets using l-band tomographic 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.",

author = "Yue Huang and Jacques Levy-Vehel and Laurent Ferro-Famil and Andreas Reigber and Stefano Fortunati",

note = "Publisher Copyright: {\textcopyright} VDE VERLAG GMBH · Berlin · Offenbach.; 11th European Conference on Synthetic Aperture Radar, EUSAR 2016 ; Conference date: 06-06-2016 Through 09-06-2016",

year = "2016",

month = jan,

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language = "English",

journal = "Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR",

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TY - JOUR

T1 - 3D characterization of underfoliage targets using l-band tomographic SAR Data and A wavelet-based approach

AU - Huang, Yue

AU - Levy-Vehel, Jacques

AU - Ferro-Famil, Laurent

AU - Reigber, Andreas

AU - Fortunati, Stefano

N1 - Publisher Copyright: © VDE VERLAG GMBH · Berlin · Offenbach.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85000949381

M3 - Conference article

AN - SCOPUS:85000949381

SN - 2197-4403

JO - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

JF - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

M1 - 7559405

T2 - 11th European Conference on Synthetic Aperture Radar, EUSAR 2016

Y2 - 6 June 2016 through 9 June 2016

ER -

3D characterization of underfoliage targets using l-band tomographic SAR Data and A wavelet-based approach

Abstract

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