A Model for Generating Synthetic VHF SAR Forest Clutter Images

Jackson, Julie Ann; Moses, Randolph L.

doi:10.1109/taes.2009.5259189

Cited by 13 publications

(25 citation statements)

References 37 publications

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“…However, it decreases the robustness in most of cases, for unknown MMT. Distributed background scattering and correlation between pixels of the forest area [38] could be also another solution to improve interference modeling. At last the use of classical polarimetric post-processing tools may be investigated.…”

Section: Discussionmentioning

confidence: 99%

New SAR target imaging algorithm based on oblique projection for clutter reduction

Brigui

Ginolhac²,

Thirion-Lefevre

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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We have developed a new Synthetic Aperture Radar (SAR) algorithm based on physical models for the detection of a Man-Made Target (MMT) embedded in strong clutter (trunks in a forest). The physical models for the MMT and the clutter are represented by low-rank subspaces and are based on scattering and polarimetric properties. Our SAR algorithm applies the oblique projection of the received signal along the clutter subspace onto the target subspace. We compute its statistical performance in terms of probabilities of detection and false alarms. The performances of the proposed SAR algorithm are improved compared to those obtained with existing SAR algorithms: the MMT detection is greatly improved and the clutter is rejected. We also studied the robustness of our new SAR algorithm to interference modeling errors. Results on real FoPen (Foliage Penetration) data showed the usefulness of this approach.

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Section: Discussionmentioning

confidence: 99%

New SAR target imaging algorithm based on oblique projection for clutter reduction

Brigui

Ginolhac²,

Thirion-Lefevre

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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“…In [8], the authors propose an improved empirical model for radar sea clutter reflectivity. In [9], the authors propose a model for generating low-frequency synthetic aperture radar (SAR) clutter that relates model parameters to physical characteristics of the scene.…”

Section: Introductionmentioning

confidence: 99%

Generation of Rayleigh Distribution Clutter in CR

Wang¹,

Song²,

Xin³

2017

dtetr

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Abstract. Research on clutter modeling and generation is very important in echo analysis, especially for CR (cognitive radar) working in complex environment. In this paper, we propose a novel generation method for Rayleigh distribution clutter in CR. This method adopts white Gaussian noise sequence and Bessel filter, and Rayleigh distribution clutter can be generated through nonlinear transformation. Simulation results demonstrate the validity of the method, and the estimated value and theoretical value are consistent with each other in both clutter amplitude and spectrum. Finally, the whole paper is summarized.

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“…A new approach to the synthesis of statistical forest clutter models has recently been proposed in [17]. The procedure suggested for the synthesis includes both a statistically relevant model for clutter scene and a model of SAR image formation process.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The lognormal distribution is chosen in [17] to model the backscattering from tree trunks. As is also pointed out in [17], the lognormal distribution could be replaced with a new one that captures the variations of tree backscattering to a great degree. In particular, an important feature to be captured by the model is the effect of ground topography, which is not taken into account in [17].…”

Section: Introductionmentioning

confidence: 99%

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Statistical Analysis of VHF-Band Tree Backscattering Using Forest Ground Truth Data and PO Scattering Model

Kononov

Wyholt

Sandberg

et al. 2011

IEEE Trans. Geosci. Remote Sensing

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The paper analyzes statistical properties of the VHF-band radar backscattering from coniferous trees by incorporating forest ground truth data into a physical-optics model that assumes horizontally transmit and receive polarizations and dominant double-bounce scattering from vertical stems standing on undulating ground surface. The analysis shows that a statistically adequate model for the tree backscattering amplitude can be presented as a mixture of generalized gamma or lognormal distribution and the mixture model can be reduced to a single density model if the trees with trunk volumes exceeding an appropriate threshold are to be taken into account. The generalized gamma density is shown to provide appreciably better fit to the exceedance functions associated with the PO-model data than that for the lognormal density. The results can be used to design statistically adequate models of forest clutter for VHF SAR systems.

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A Model for Generating Synthetic VHF SAR Forest Clutter Images

Cited by 13 publications

References 37 publications

New SAR target imaging algorithm based on oblique projection for clutter reduction

New SAR target imaging algorithm based on oblique projection for clutter reduction

Generation of Rayleigh Distribution Clutter in CR

Statistical Analysis of VHF-Band Tree Backscattering Using Forest Ground Truth Data and PO Scattering Model

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