Paper
1 August 2002 Preliminary comparison of high-range resolution signatures of moving and stationary ground vehicles
David C. Gross, Michael W. Oppenheimer, Bart Kahler, Brett L. Keaffaber, Robert L. Williams
Author Affiliations +
Abstract
High-Range Resolution (HRR) radar modes have become increasingly important in the past few years due to the ability to form focused range profiles of moving targets with enhanced target-to-clutter ratios via Doppler filtering and/or clutter cancellation. To date, much research has been performed on using HRR radar profiles of both moving and stationary ground targets for Automatic Target Recognition (ATR) and Feature-Aided Tracking (FAT) applications. However, little work evaluating the correlation between moving versus stationary HRR profiles has been reported. This paper presents analytical comparisons between HRR profiles generated from a moving vehicle and profiles formed from Synthetic Aperture Radar (SAR) images of the identical stationary vehicle. The moving target HRR profiles are formed by integrating range-Doppler target images detected from clutter suppressed phase history data. The stationary target HRR profiles are formed from SAR imagery target chips by segmenting the target from clutter and reversing the image formation process. The purpose of this research is to identify which features, such as profile peaks, peak intensity, electrical length, among others, are common to profiles of the same target type and class and at the same imaging geometry.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David C. Gross, Michael W. Oppenheimer, Bart Kahler, Brett L. Keaffaber, and Robert L. Williams "Preliminary comparison of high-range resolution signatures of moving and stationary ground vehicles", Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); https://doi.org/10.1117/12.478677
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Cited by 10 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Automatic target recognition

Target detection

Image processing

Image segmentation

Radar

Adaptive optics

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