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A Model for Generating Synthetic VHF SAR Forest Clutter Images

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2 Author(s)
Jackson, J.A. ; Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA ; Moses, R.L.

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.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:45 ,  Issue: 3 )