• Optics and Precision Engineering
  • Vol. 17, Issue 2, 460 (2009)
WU Gang1,*, WU Chun-feng2, HOU Qing-yu1, and ZHANG Wei1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    WU Gang, WU Chun-feng, HOU Qing-yu, ZHANG Wei. Target location method based on invariable moment feature matching[J]. Optics and Precision Engineering, 2009, 17(2): 460 Copy Citation Text show less

    Abstract

    In infrared imaging matching navigating system, the image distorted transformations between reference images and real-time images can increase the difficulty of imaging matching,for two kinds of images are taken unsimultaneously at different heights and different view points. Based on the basic principles of infrared imaging, effect of the difference in the ground resolution of infrared imaging on the invariability of invariable moment features is discussed in this paper. The expression of six-dimension invariable moment feature vectors of images in different ground resolutions is derived. Discussed results show that the feature vector is invariable for images in complex transformations on translation, rotation, noise adding and differences in resolution, and can be used as the features in the application of imaging matching location. The Camberra distance as the image matching metric between real-time image and reference image is proposed. The method is proved correct and feasible in experiment part.
    WU Gang, WU Chun-feng, HOU Qing-yu, ZHANG Wei. Target location method based on invariable moment feature matching[J]. Optics and Precision Engineering, 2009, 17(2): 460
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