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Gunnery Classification Method Using Profile Feature Extraction in Infrared Images

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(10), pp.43-53
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김재협 1 조태욱 1 천승우 1 이종민 2 Young Shik Moon 2

1삼성탈레스(주)
2한양대학교

Accredited

ABSTRACT

Gunnery has been used to detect and classify artilleries. In this paper, we used electro-optical data toget the information of muzzle flash from the artilleries. Feature based approach was applied; we firstdefined features and sub-features. The number of sub-features was 38~40 generic sub-features, and 2model-based sub-features. To classify multiclass data, we introduced tree structure with clustering theclasses according to the similarity of them. SVM was used for each non-leaf nodes in the tree, as asub-classifier. From the data, we extracted features and sub-features and classified them by the treestructure SVM classifier. The results showed that the performance of our classifier was good for ourmuzzle flash classification problem.

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