• Laser & Optoelectronics Progress
  • Vol. 57, Issue 18, 181004 (2020)
Guoqing Qiu, Haijing Yang*, Yantao Wang, Yating Wei, and Pan Luo
Author Affiliations
  • College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    DOI: 10.3788/LOP57.181004 Cite this Article Set citation alerts
    Guoqing Qiu, Haijing Yang, Yantao Wang, Yating Wei, Pan Luo. Dim Target Detection in Airborne Infrared Images Based on Visual Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181004 Copy Citation Text show less
    Enhancement effect of high brightness cloud. (a) Original image; (b) edge extraction image; (c) overlay image
    Fig. 1. Enhancement effect of high brightness cloud. (a) Original image; (b) edge extraction image; (c) overlay image
    Distribution maps of intensity and gradient of target and its neighborhood. (a) Original image; (b) 3D intensity distribution; (c) gradient map
    Fig. 2. Distribution maps of intensity and gradient of target and its neighborhood. (a) Original image; (b) 3D intensity distribution; (c) gradient map
    Cloud and its gradient distribution. (a) Original image; (b) gradient distribution of cloud edge region
    Fig. 3. Cloud and its gradient distribution. (a) Original image; (b) gradient distribution of cloud edge region
    Gradient operators in four directions
    Fig. 4. Gradient operators in four directions
    Detection results. (a) Original image; (b) 3D intensity distribution of original image; (c) effect image; (d) 3D intensity distribution of effect image
    Fig. 5. Detection results. (a) Original image; (b) 3D intensity distribution of original image; (c) effect image; (d) 3D intensity distribution of effect image
    Detection results of different methods. (a) Original image; (b) Top-Hat method; (c) LRES method; (d) NRAM method; (e) LIG method; (f) proposed method
    Fig. 6. Detection results of different methods. (a) Original image; (b) Top-Hat method; (c) LRES method; (d) NRAM method; (e) LIG method; (f) proposed method
    MethodTop-HatLRESNRAMLIGProposed method
    Detection rate0.820.860.890.850.91
    False detection rate0.150.160.090.06
    Table 1. Detection performance of different methods
    SequencyTop-HatLRESNRAMLIGProposed method
    13.54006.27576.52066.06867.7595
    24.35544.84044.96445.55576.0472
    32.19782.72582.61503.1563
    43.89554.72884.86506.3940
    Table 2. SCR of different methods
    SequencyTop-HatLRESNRAMLIGProposed method
    1686.09283414.10003638.82094.40003741.1
    2398.0309922.59061176.91020.70001156.7
    3502.20853307.40003321.70004084.9
    4483.2480714.7317537.95414215.1
    Table 3. BSF of different methods
    Guoqing Qiu, Haijing Yang, Yantao Wang, Yating Wei, Pan Luo. Dim Target Detection in Airborne Infrared Images Based on Visual Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181004
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