Comparison of classification approaches for high-range resolution radar

Clayton V. Stewart; Victor J. Larson; James Doss Halsey

doi:10.1117/12.138264

16 September 1992 Comparison of classification approaches for high-range resolution radar

Clayton V. Stewart, Victor J. Larson, James Doss Halsey

Proceedings Volume 1700, Automatic Object Recognition II; (1992) https://doi.org/10.1117/12.138264
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A radar scattering model was used to provide targets for a classification study of high range resolution radar signatures. Intrinsic dimensionality of these signatures was calculated using kth nearest neighbor information. Two classifier paradigms were implemented, a Gaussian classifier and a synthetic discriminant function classifier. The Gaussian correlation classifier was more robust in the presence of white Gaussian noise while the SDF approach was more robust for large angle bin size.

Citation Download Citation

Clayton V. Stewart, Victor J. Larson, and James Doss Halsey "Comparison of classification approaches for high-range resolution radar", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); https://doi.org/10.1117/12.138264

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