AN AUTOMATIC TARGET RECOGNITION ALGORITHM BASED ON CORRELATION OF INFRARED MULTISPECTRAL IMAGERY
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

TN216 TP391.41

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    A new automatic target recognition algorithm based on infrared multispectral imagery correlation (IMIC) is presented. According to infrared multispectral characteristic information (such as radiation intensity and spectral distribution) of targets, background and decoys, an infrared multispectral eigenmatrix of scenario is constructed. An infrared multispectral eigenmatrix of interesting targets is reconstructed after segmenting image by maximum-error-method and fusing target information of space and spectrum. An infrared multispectral imagery correlation recognition method is formulated in terms of spectral radiation difference of interesting targets. Digital simulation experiment result verifies that the algorithm is proper and feasible.

    Reference
    Related
    Cited by
Get Citation

WU Chun-Feng ZHANG Wei CONG Ming-Yu WU Gang. AN AUTOMATIC TARGET RECOGNITION ALGORITHM BASED ON CORRELATION OF INFRARED MULTISPECTRAL IMAGERY[J]. Journal of Infrared and Millimeter Waves,2003,22(4):265~268

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:July 18,2002
  • Adopted:
  • Online:
  • Published:
Article QR Code