Discrimination of civilian vehicles using wide-angle SAR

Kerry E. Dungan; Lee C. Potter; Jason Blackaby; John Nehrbass

doi:10.1117/12.790440

15 April 2008 Discrimination of civilian vehicles using wide-angle SAR

Kerry E. Dungan, Lee C. Potter, Jason Blackaby, John Nehrbass

Proceedings Volume 6970, Algorithms for Synthetic Aperture Radar Imagery XV; 69700Z (2008) https://doi.org/10.1117/12.790440
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

At high frequencies, synthetic aperture radar (SAR) imagery can be represented as a set of points corresponding to scattering centers. Using a collection of sequential azimuths with a fixed aperture we build a cube of points for each of seven civilian vehicles in the Gotcha public release data set (GPRD). We present a baseline study of the ability to discriminate between the vehicles using strictly 2D geometric information of the scattering centers. The comparison algorithm is independent of pose and translation using a novel application of the partial Hausdorff distance (PHD) minimized through a particle swarm optimization. Using the PHD has the added benefit of reducing the effects of occlusions and clutter in comparing vehicles from pass to pass. We provide confusion matrices for a variety of operating parameters including azimuth extent, various amplitude cutoffs, and various parameters within PHD. Finally, we discuss extension of the approach to near-field imaging and to additional point attributes, such as 3D location and polarimetric response.

Citation Download Citation

Kerry E. Dungan, Lee C. Potter, Jason Blackaby, and John Nehrbass "Discrimination of civilian vehicles using wide-angle SAR", Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700Z (15 April 2008); https://doi.org/10.1117/12.790440

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