Decision criterion processing methodology for heuristic assessment of classification models

Keith C. Drake; Richard Y. Kim; Tony Y. Kim

doi:10.1117/12.179040

22 June 1994 Decision criterion processing methodology for heuristic assessment of classification models

Keith C. Drake, Richard Y. Kim, Tony Y. Kim

Proceedings Volume 2233, Sensor Fusion and Aerospace Applications II; (1994) https://doi.org/10.1117/12.179040
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Detection, classification, and identification of high-value targets are ongoing challenges for the defense research community. Many automatic target recognition approaches exist, each with specific advantages and limitations. This approach first segments potential targets at the pixel level, followed by several hierarchical levels of object classification and identification. This paper discusses a specific aspect of this paradigm--the heuristic assessment of object classification likelihood estimates.

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Keith C. Drake, Richard Y. Kim, and Tony Y. Kim "Decision criterion processing methodology for heuristic assessment of classification models", Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); https://doi.org/10.1117/12.179040

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