Paper
14 May 2016 Vehicle detection in wide-angle SAR
Author Affiliations +
Abstract
This study investigates vehicle detection performance for an airborne video SAR over increasingly wide collection angles. Using a parameterized video SAR generation, it is possible to see the effects of detection on various frame generation methods and apertures. A cell-averaging CFAR detection algorithm is applied to each frame, searching for vehicles. Results show that increasing the azimuth extent of the video SAR improves detection performance. With some imaging methods, a larger azimuth extent helps to suppress background speckle. Also, a larger azimuth extent improves the chances of imaging a vehicle from a more informative cardinal angle.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kerry E. Dungan "Vehicle detection in wide-angle SAR", Proc. SPIE 9843, Algorithms for Synthetic Aperture Radar Imagery XXIII, 98430H (14 May 2016); https://doi.org/10.1117/12.2229378
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Composites

Image processing

Detection and tracking algorithms

Speckle

Palladium

Sensors

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