• DocumentCode
    1658119
  • Title

    Emitter target recognition based on multi-sensor data fusion of ESM and IR

  • Author

    Jiegui Wang

  • Author_Institution
    Electron. Eng. Inst., Hefei
  • fYear
    2008
  • Firstpage
    1508
  • Lastpage
    1511
  • Abstract
    The method of emitter target recognition based on multi-sensor system of ESM and IR is discussed in this paper. First, based on the multi-feature measured by ESM system, a new method to calculate the BPAF (basic probability assignment function) with synthetic fuzzy evaluation is proposed. Based on the IR image, the method to calculate the BPAF with the gray correlation analysis is proposed too. And further, the paper introduces the multi-sensor data fusion method based on the D-S evidence theory, which is applied to the emitter target recognition of multi-sensor system of ESM and IR. The experiments show that the proposed method is practicable and effective.
  • Keywords
    correlation methods; fuzzy set theory; image sensors; infrared imaging; object detection; object recognition; probability; D-S evidence theory; ESM system; basic probability assignment function; emitter target recognition; gray correlation analysis; infrared image; multisensor data fusion; synthetic fuzzy evaluation; Artificial satellites; Data engineering; Fuzzy sets; Fuzzy systems; Image analysis; Infrared image sensors; Optical fiber communication; Radio frequency; Sensor fusion; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697419
  • Filename
    4697419