• DocumentCode
    2702619
  • Title

    Joint transform correlation using correlation plane data fusion

  • Author

    Alam, Mohammad S. ; Gu, Yuhui A.

  • Author_Institution
    Dept. of Eng., Purdue Univ., Fort Wayne, IN, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    20-23 May 1996
  • Firstpage
    694
  • Abstract
    A novel JTC technique for multiple target detection which employs data fusion in the correlation plane while avoiding the image subtraction in the Fourier plane is proposed. The proposed JTC technique enhances the correlation peak intensity between the reference and the targets in the input scene and reduces the out-of-class correlation peak intensity between the reference and the non-target objects that may be present in the input scene
  • Keywords
    digital simulation; image processing; image recognition; optical correlation; optical signal detection; sensor fusion; simulation; Fourier plane; correlation peak intensity; correlation plane data fusion; image subtraction; joint transform correlation; multiple target detection; out-of-class correlation peak intensity; pattern recognition; Correlators; Data engineering; Fabrication; Layout; Liquid crystals; Object detection; Pattern recognition; Power harmonic filters; Subtraction techniques; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National
  • Conference_Location
    Dayton, OH
  • ISSN
    0547-3578
  • Print_ISBN
    0-7803-3306-3
  • Type

    conf

  • DOI
    10.1109/NAECON.1996.517725
  • Filename
    517725