• INFRARED
  • Vol. 43, Issue 9, 28 (2022)
Chen-hong SUN*, Xiao-tian YANG, and Liang WANG
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1672-8785.2022.09.005 Cite this Article
    SUN Chen-hong, YANG Xiao-tian, WANG Liang. Intelligent Detection of Specific Target Based on Infrared Sequence Images[J]. INFRARED, 2022, 43(9): 28 Copy Citation Text show less

    Abstract

    Infrared imaging detection technology is an important technology that military operations need to rely on at present and in the future. In this paper, satellite infrared remote sensing image is taken as the processing object, and artificial intelligence related technology is used to detect the target of image data. Based on the correlation analysis of the specific target detected in the sequence image, the trajectory report of the specific target is generated according to the extracted gray scale and motion change information of the target. The experimental results show that the average accuracy rate of multi-target detection is 90%, which can reach 95% in some scenes, and the error detection rate is 7%. The average accuracy of multi-target tracking is 91%, and the error detection rate is 6%. They provide information support for timely detection and early warning of specific targets.
    SUN Chen-hong, YANG Xiao-tian, WANG Liang. Intelligent Detection of Specific Target Based on Infrared Sequence Images[J]. INFRARED, 2022, 43(9): 28
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