Infrared Technology, Volume. 44, Issue 5, 475(2022)

Infrared Dim-Small Target Detection Based on Improved Spatio-Temporal Filtering

Xiangsuo FAN1,2、*, Jinlong FAN3, Lianghua WEN1, and Zhiyong XU4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    To effectively solve the problem of low detection rates of dim and small targets caused by dynamic background changes, a detection method based on spatio-temporal filtering is proposed in this paper. Based on an analysis of the imaging characteristics of infrared images, an improved anisotropic spatial filtering algorithm is proposed to evaluate the difference in various gradient characteristics of the target area, background area, and edge contour area. The algorithm fully utilizes the gradient information in the spatial domain to construct the diffusion filter function in different directions. According to the gradient difference in various characteristics of the image, the mean value of the two directions with the smallest value of the diffusion function is selected as the result of spatial filtering to retain the target signal to the maximum extent. To effectively enhance the energy of dim and small targets and address the shortcomings of high-order cumulants that only use the temporal domain information of pixel points for energy enhancement, an energy enhancement algorithm based on spatial-temporal neighborhood blocks is proposed. Experimental results reveal that the proposed algorithm can effectively enhance the detection of dim and small targets in dynamically changing scenes.


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    FAN Xiangsuo, FAN Jinlong, WEN Lianghua, XU Zhiyong. Infrared Dim-Small Target Detection Based on Improved Spatio-Temporal Filtering[J]. Infrared Technology, 2022, 44(5): 475

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    Paper Information


    Received: Jan. 11, 2021

    Accepted: --

    Published Online: Jun. 16, 2022

    The Author Email: Xiangsuo FAN (



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