• Electronics Optics & Control
  • Vol. 22, Issue 2, 7 (2015)
LIU Song-tao1, CHANG Chun1, and SHEN Tong-sheng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2015.02.002 Cite this Article
    LIU Song-tao, CHANG Chun, SHEN Tong-sheng. An Image Feature Fusion Method Based on Region Covariance[J]. Electronics Optics & Control, 2015, 22(2): 7 Copy Citation Text show less

    Abstract

    Considering that different features indicate different image information,and combined features can represent the image better,we summarize various kinds of feature fusion methods.Furthermore,the feature fusion method based on region covariance is discussed in detail.This method is able to combine multiple target features naturally,and the computation itself has noise smoothing ability and is very efficiency.Finally,ship target recognition is realized by designing proper target features and fusing them with region covariance.The experimental results show that the region covariance method can fuse target features in the visible image or infrared image well,and has a good target recognition performance.
    LIU Song-tao, CHANG Chun, SHEN Tong-sheng. An Image Feature Fusion Method Based on Region Covariance[J]. Electronics Optics & Control, 2015, 22(2): 7
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