14 May 2016 Vehicle detection in wide-angle SAR
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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.
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Kerry E. Dungan, "Vehicle detection in wide-angle SAR", Proc. SPIE 9843, Algorithms for Synthetic Aperture Radar Imagery XXIII, 98430H (14 May 2016); doi: 10.1117/12.2229378; https://doi.org/10.1117/12.2229378
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