Paper
21 September 2004 Millimeter-wave ATR: a study on feature robustness
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hartmut M. Schimpf "Millimeter-wave ATR: a study on feature robustness", Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); https://doi.org/10.1117/12.542057
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Cited by 2 scholarly publications.
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KEYWORDS
Polarimetry

Automatic target recognition

Statistical analysis

Target recognition

Distance measurement

Principal component analysis

Radar

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