22 June 1994 Decision criterion processing methodology for heuristic assessment of classification models
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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, Keith C. Drake, Richard Y. Kim, Richard Y. Kim, Tony Y. Kim, 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); doi: 10.1117/12.179040; https://doi.org/10.1117/12.179040
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