16 August 2001 None-of-the-above (NOTA) capability for INTELL-based NCTI
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Abstract
When trying to determine the identity of individual target classes a model database is often used which categorizes the known individuals. The models contain attributes which characterize each individual such as color, propulsion type, shape, number of wheels, etc. Based on sensed characteristics. Often new targets are introduced which are not modeled in the database but of interest to the observer. Historical classification systems will attempt to map measurements of new targets into the known model base as best as possible. This paper presents an approach for automatically generating a none-of-the-above (NOTA) class to allow for the detection of new classes.
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Eric Sorensen, Ronald P. S. Mahler, and Trent Brundage "None-of-the-above (NOTA) capability for INTELL-based NCTI", Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436956; https://doi.org/10.1117/12.436956
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