Infared Imaging Automatic Target Recognition Algorithm Based on SVM
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

TN976

Fund Project:

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

    In view of the issue of automatic target recognition met by infrared imaging guided missiles in the war, an automatic target recognition algorithm which uses several 213 images to recognize 3-D targets is put forward and a Support Vector Machine is used as a classifier. The simulation experiment results have shown that the algorithm can recognize the target at any angle in the 3-D space successfully and can solve the 3-D target recognition problem which is difficult to be solved by many 2-D recognition algorithms. At the same time, compared with the traditional recognition algorithms, this algorithm has a higher target recognition ratio.

    Reference
    Related
    Cited by
Get Citation

FAN Bin, FENG Yun-song, YANG Li, et al. Infared Imaging Automatic Target Recognition Algorithm Based on SVM[J]. Infrared,2007,(1):10~13

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
Article QR Code