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Proceedings Paper

Vehicle detection in wide-angle SAR
Author(s): Kerry E. Dungan
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Paper 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.

Paper Details

Date Published: 14 May 2016
PDF: 6 pages
Proc. SPIE 9843, Algorithms for Synthetic Aperture Radar Imagery XXIII, 98430H (14 May 2016); doi: 10.1117/12.2229378
Show Author Affiliations
Kerry E. Dungan, Wright State Univ. (United States)


Published in SPIE Proceedings Vol. 9843:
Algorithms for Synthetic Aperture Radar Imagery XXIII
Edmund Zelnio; Frederick D. Garber, Editor(s)

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