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Proceedings Paper

Millimeter-wave ATR: a study on feature robustness
Author(s): Hartmut M. Schimpf
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Paper Abstract

Three target types, namely T72, ZSU 23-4 and BMP-2 were measured in a tower/turntable configuration in several articulations each. A set of geometric, statistical, structural and polarimetric features is used to study the robustness of classification. Based on the Kolmogoroff-Smirnov distance between histograms a metric is defined that at the same time allows to quantify intra-class robustness and inter-class separability for an individual feature. For sets of several features, a simple classification approach in connection with a reference confusion matrix allows to assess the robustness of classification. It is demonstrated, that averaging the feature reference over all available target articulations improves the classification performance as compared to a reference that is based on one articulation only.

Paper Details

Date Published: 21 September 2004
PDF: 9 pages
Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); doi: 10.1117/12.542057
Show Author Affiliations
Hartmut M. Schimpf, FGAN-Forschungsinstitut fur Hochfrequenzphysik und Radartechnik (Germany)

Published in SPIE Proceedings Vol. 5426:
Automatic Target Recognition XIV
Firooz A. Sadjadi, Editor(s)

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