Robust SAR ATR via set-valued classifiers: new results

John R. Hoffman; Ronald P. S. Mahler; Ravi B. Ravichandran; Raman K. Mehra; Stanton H. Musick

doi:10.1117/12.488540

25 August 2003 Robust SAR ATR via set-valued classifiers: new results

John R. Hoffman, Ronald P. S. Mahler, Ravi B. Ravichandran, Raman K. Mehra, Stanton H. Musick

Proceedings Volume 5096, Signal Processing, Sensor Fusion, and Target Recognition XII; (2003) https://doi.org/10.1117/12.488540
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

“Robust identification” in SAR ATR refers to the problem of determining target identity despite the confounding effects of “extended operating conditions” (EOCs). EOC’s are statistically uncharacterizable SAR intensity-signature variations caused by mud, dents, turret articulations, etc. This paper describes a robust ATR approach based on the idea of (1) hedging against EOCs by attaching “random error bars” (random intervals) to each value of the image likelihood function; (2) constructing a “generalized likelihood function” from them; and (3) using a set-valued, MLE-like approach to robustly estimate target type. We compare three such classifiers, showing that they outperform conventional approaches under EOC conditions.

Citation Download Citation

John R. Hoffman, Ronald P. S. Mahler, Ravi B. Ravichandran, Raman K. Mehra, and Stanton H. Musick "Robust SAR ATR via set-valued classifiers: new results", Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); https://doi.org/10.1117/12.488540

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