The use of fuzzy silhouette and internal hot-spots in hierarchical fuzzy FLIR target classification

K. Kanzaki, E. K. Wong, M. Kabrisky

    Research output: Contribution to conferencePaper

    Abstract

    An overview is given of a hierarchical fuzzy ATR system that takes fuzzy data, segments out both a set of foundation silhouettes and sets of internal hot spots, uses a fuzzy feature to represent shape for all segments, uses structural features for the internal hot spots, and uses a two step fuzzy classification algorithm to give guesses with degrees of certainty. The process achieves a hardened classification accuracy of 98.5%.

    Original languageEnglish (US)
    Pages309-313
    Number of pages5
    StatePublished - 1992
    EventFirst International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries -
    Duration: Oct 14 1992Oct 18 1992

    Other

    OtherFirst International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries
    Period10/14/9210/18/92

    ASJC Scopus subject areas

    • Information Systems
    • Software
    • Computational Theory and Mathematics
    • Artificial Intelligence

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  • Cite this

    Kanzaki, K., Wong, E. K., & Kabrisky, M. (1992). The use of fuzzy silhouette and internal hot-spots in hierarchical fuzzy FLIR target classification. 309-313. Paper presented at First International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries, .