Laser & Optoelectronics Progress, Volume. 56, Issue 6, 060401(2019)

Infrared Dim Target Detection Based on Statistical Characteristics and Bridge Method

Zhihua Han1,2、**, Jinghong Liu1、*, and Fang Xu1,2
Author Affiliations
  • 1 Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optical Precision Machinery and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(9)
    Bridge diagram
    Sliding window
    Bridge method diagram
    Infrared images used in experiment. (a) The first moment of plane image; (b) the second moment of plane image; (c) the third moment of plane image
    Detection results by proposed algorithm. (a) Detection results of Fig. 4(a); (b) detection results of Fig. 4(b); (c) detection results of Fig. 4(c)
    Detection results by algorithm in Ref. [22]. (a) Detection results of Fig. 4(a); (b) detection results of Fig. 4(b); (c) detection results of Fig. 4(c)
    Performance comparison of algorithms
    • Table 1. Screening methods corresponding to different background conditions

      View table

      Table 1. Screening methods corresponding to different background conditions

      Background conditionScreening approach
      Common building backgroundLocal extreme screening
      Cloud backgroundStatistical characteristic screening or turn off screening
      Gray difference between walls and windows of building is largeConnected domain shape in image
    • Table 2. Hardware and software conditions used in experiment

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      Table 2. Hardware and software conditions used in experiment

      Hardware conditionSoftware condition
      Intel Core i3-2120 CPUWindows 10 professional
      2.00 GB memoryVisual studio 2015
      NVIDIA GeForce GT 430opencv-3.4.0
      Infrared camera inphotoelectric equipment
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    Zhihua Han, Jinghong Liu, Fang Xu. Infrared Dim Target Detection Based on Statistical Characteristics and Bridge Method[J]. Laser & Optoelectronics Progress, 2019, 56(6): 060401

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    Paper Information

    Category: Detectors

    Received: Sep. 13, 2018

    Accepted: Sep. 30, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Han Zhihua (hanzhihua1234@126.com), Liu Jinghong (liu1577@126.com)

    DOI:10.3788/LOP56.060401

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