Paper
2 September 2004 Clutter model for VHF SAR imagery
Julie Ann Jackson, Randolph L. Moses
Author Affiliations +
Abstract
We present a physically-based clutter model for low frequency synthetic aperture radar that includes both distributed scatterers and large-amplitude discrete clutter. The model is used to generate a synthetic forest clutter scene comprised of two components, a background component and a heavy-tailed discrete component. Model parameters are based on characteristics of the scene, such as the radar cross-section of trees, forest thickness, and background radar cross-section. A synthetic SAR image of the scene is generated by modelling the radar imaging process as a lowpass filter and convolving the scene with the impulse response of the radar. We compare the synthetic, single-pass clutter image to measured data and present a metric for evaluating model fit. We also extended the model to describe correlated, multi-pass images for change detection applications.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julie Ann Jackson and Randolph L. Moses "Clutter model for VHF SAR imagery", Proc. SPIE 5427, Algorithms for Synthetic Aperture Radar Imagery XI, (2 September 2004); https://doi.org/10.1117/12.541577
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Scattering

Data modeling

Radar

Image filtering

Image processing

Rayleigh scattering

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