• Acta Optica Sinica
  • Vol. 40, Issue 15, 1504001 (2020)
Chenfeng Lou1、2、3, Yong Zhang1、2、*, and Jiaqi Yin1、2、3
Author Affiliations
  • 1Key Laboratory of Infrared Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
  • 2Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • show less
    DOI: 10.3788/AOS202040.1504001 Cite this Article Set citation alerts
    Chenfeng Lou, Yong Zhang, Jiaqi Yin. Small Target Detection Method Based on Robinson-Guard Filter and Pixel Convergence[J]. Acta Optica Sinica, 2020, 40(15): 1504001 Copy Citation Text show less
    Belt noise in image shot by linear array sensor
    Fig. 1. Belt noise in image shot by linear array sensor
    Belt noise causes max(z) being too high
    Fig. 2. Belt noise causes max(z) being too high
    Deviation ratio between MC of circle target with radius of R and ideal value
    Fig. 3. Deviation ratio between MC of circle target with radius of R and ideal value
    Targets with minimum MC when 2≤n≤4. (a) MC=0.3536; (b) MC=0.3849; (c) MC=0.3750
    Fig. 4. Targets with minimum MC when 2≤n≤4. (a) MC=0.3536; (b) MC=0.3849; (c) MC=0.3750
    MC of some typical pixels. (a) MC=0.4033; (b) MC=0.6479; (c) MC=0.8000
    Fig. 5. MC of some typical pixels. (a) MC=0.4033; (b) MC=0.6479; (c) MC=0.8000
    Simulated infrared target in guard band
    Fig. 6. Simulated infrared target in guard band
    Window position shift in low SNR condition. (a) Original image; (b) fusion map of original image and shifted window
    Fig. 7. Window position shift in low SNR condition. (a) Original image; (b) fusion map of original image and shifted window
    Flowchart of proposed method
    Fig. 8. Flowchart of proposed method
    Processing of IR images of birds in clouds. (a1)(a2) Original images; (b1)(b2) heat maps of window distribution; (c1)(c2) target probability maps; (d1)(d2) segmentation results
    Fig. 9. Processing of IR images of birds in clouds. (a1)(a2) Original images; (b1)(b2) heat maps of window distribution; (c1)(c2) target probability maps; (d1)(d2) segmentation results
    Three-dimensional projection of normalized |MTPM| in Figs. 9(c1) and 9(c2). (a) Projection of Fig. 9(c1); (b) projection of Fig. 9(c2)
    Fig. 10. Three-dimensional projection of normalized |MTPM| in Figs. 9(c1) and 9(c2). (a) Projection of Fig. 9(c1); (b) projection of Fig. 9(c2)
    Simulated images and MTPM for different SNR. (a1) Simulated image with RSNR=0.2; (b1) simulated image with RSNR=0.5; (c1) simulated image with RSNR=1; (d1) simulated image with RSNR=3; (a2) MTPM with RSNR=0.2; (b2) MTPM with RSNR=0.5; (c2) MTPM with RSNR=1; (d2) MTPM with RSNR=3
    Fig. 11. Simulated images and MTPM for different SNR. (a1) Simulated image with RSNR=0.2; (b1) simulated image with RSNR=0.5; (c1) simulated image with RSNR=1; (d1) simulated image with RSNR=3; (a2) MTPM with RSNR=0.2; (b2) MTPM with RSNR=0.5; (c2) MTPM with RSNR=1; (d2) MTPM with RSNR=3
    Comparison of several target detection methods. (a1)(b1)(c1)(d1) Scenes a,b,c,and d; (a2)(b2)(c2)(d2) NIPPS; (a3)(b3)(c3)(d3) RIPT; (a4)(b4)(c4)(d4) MDTDLMS-RDLCM; (a5)(b5)(c5)(d5) proposed method
    Fig. 12. Comparison of several target detection methods. (a1)(b1)(c1)(d1) Scenes a,b,c,and d; (a2)(b2)(c2)(d2) NIPPS; (a3)(b3)(c3)(d3) RIPT; (a4)(b4)(c4)(d4) MDTDLMS-RDLCM; (a5)(b5)(c5)(d5) proposed method
    ROC curves of different algorithms
    Fig. 13. ROC curves of different algorithms
    SceneNIPPSRIPTMDTDLMS-RDLCMProposed method
    a1.0001.0000.4670.667
    b1.0001.0001.0001.000
    c0.7260.55100.615
    d1.0000.8520.7730.784
    Table 1. Detection rates of different methods
    SceneNIPPSRIPTMDTDLMS-RDLCMProposed method
    a0.8910.79400
    b0.9590.91300
    c0.9460.996N/A0.566
    d0.9620.9890.7150.492
    Table 2. False alarms of different methods
    MethodMax-medianNIPPSRIPTMDTDLMS-RDLCMProposed method
    Time per 256 pixel×256 pixel0.5224.598.6011.390.89
    Table 3. [in Chinese]
    Chenfeng Lou, Yong Zhang, Jiaqi Yin. Small Target Detection Method Based on Robinson-Guard Filter and Pixel Convergence[J]. Acta Optica Sinica, 2020, 40(15): 1504001
    Download Citation