None-of-the-above (NOTA) capability for INTELL-based NCTI
Eric Sorensen, Ronald Mahler, Trenton J. Brundage · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.