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Predicting the probability of target detection in static infrared and visual scenes using the fuzzy logic approach

机译:Predicting the probability of target detection in static infrared and visual scenes using the fuzzy logic approach

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摘要

The probability of detection (Pd) of targets in static infrared and visually cluttered scenes is computed using the fuzzy logic approach (FLA). The FLA is presented as a robust method for the computation a prediction of the Pd of targets in cluttered scenes. The Mamdani/Assilian and Sugeno neuro-fuzzy-based models are investigated. A large set of infrared (IR) imagery and a limited set of visual imagery are used to model the relationships between several input parameters: the contra camouflage condition, range, aspect, width, and experimental Pd. The fuzzy and neuro-fuzzy models gave predicted Pd values that had 0.98 correlation to the experimental Pd's. The results obtained indicate the robustness of the fuzzy-based modeling techniques and the applicability of the FLA to those types of problems having to do with the modeling of human-in-the-loop target detection in any spectral regime. # 1998 Society of Photo-Optical Instrumentation Engineers. S0091-3286(98)00101-9 Subject terms: recognition techniques; fuzzy logic; target acquisition; signal de-tection theory; vision. Paper ART-101 received May 13, 1997; revised manuscript received Aug. 2 1997; accepted for publication Sep. 2, 1997.

著录项

  • 来源
    《Optical Engineering》 |1998年第3期|10-17|共8页
  • 作者单位

    U.S. Army Tank-Automotive and Armaments Command Research, Development and Engineering Center (TARDEC) Warren,/ Michigan 48387-5000 E-mail:meitzlet@cc.tacom.army.mil;

    Wayne State University Electrical and Computer Engineering Department Detroit,/ Michigan 98202;

    College of Engineering and Technology Electrical and Computer Engineering Department Hebron,/ Israel;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 光学仪器;
  • 关键词

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