A Model for Generating Synthetic VHF SAR Forest Clutter Images

We propose a model for generating low-frequency synthetic aperture radar (SAR) clutter that relates model parameters to physical characteristics of the scene. The model includes both distributed scattering and large-amplitude discrete clutter responses. The model also incorporates the SAR imaging pr...

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Veröffentlicht in:IEEE transactions on aerospace and electronic systems 2009-07, Vol.45 (3), p.1138-1152
Hauptverfasser: Jackson, J.A., Moses, R.L.
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Moses, R.L.
description We propose a model for generating low-frequency synthetic aperture radar (SAR) clutter that relates model parameters to physical characteristics of the scene. The model includes both distributed scattering and large-amplitude discrete clutter responses. The model also incorporates the SAR imaging process, which introduces correlation among image pixels. The model may be used to generate synthetic clutter for a range of environmental operating conditions for use in target detection performance evaluation of the radar and automatic target detection/recognition algorithms. We derive a statistical representation of the proposed clutter model's pixel amplitudes and compare with measured data from the CARABAS-II SAR. Simulated clutter images capture the structure and amplitude responses seen in the measured data. A statistical analysis shows an order of magnitude improvement in model fit error compared with standard maximum-likelihood (ML) density fitting methods.
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subjects Algorithms
Amplitudes
Character generation
Clutter
Density
Layout
Object detection
Pixel
Pixels
Radar clutter
Radar imaging
Radar polarimetry
Radar scattering
Synthetic aperture radar
Target detection
Target recognition
title A Model for Generating Synthetic VHF SAR Forest Clutter Images
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