Classifying civilian vehicles using a wide-field circular SAR

Kerry E. Dungan; Lee C. Potter

doi:10.1117/12.823462

28 April 2009 Classifying civilian vehicles using a wide-field circular SAR

Kerry E. Dungan, Lee C. Potter

Proceedings Volume 7337, Algorithms for Synthetic Aperture Radar Imagery XVI; 73370R (2009) https://doi.org/10.1117/12.823462
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

In this paper we consider classification of civilian vehicles using circular synthetic aperture radar. For wide-field application in which the scene radius is a significant fraction of the flight path radius, vehicle signatures are spatially variant due to layover. For a ten-class identification task using simulated X-band signatures, we demonstrate 96% correct classification for single-pass 2D imagery with scene radius 0.4 times the flight radius. Simulated scattering data include multi-path and material effects. Image signatures are represented by sets of attributed scattering centers. Dissimilarity between attributed point sets is computed via a minimized partial Hausdorff distance. Using multidimensional scaling, the distances are represented in a low-dimensional Euclidean space for both visualization and improved classification. The minimized partial Hausdorff distance, while not a true distance, empirically shows remarkable fidelity to the triangle inequality. Finally, in a limited two-class study, we show that three-dimensional imaging of layover points using polarization cues provides improved class separability.

Citation Download Citation

Kerry E. Dungan and Lee C. Potter "Classifying civilian vehicles using a wide-field circular SAR", Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 73370R (28 April 2009); https://doi.org/10.1117/12.823462

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