Laser & Optoelectronics Progress, Volume. 62, Issue 19, 1906030(2025)

Research on Continuous Grayscale Image Feature Analysis of Airborne Targets Based on Multivariate Statistical Parameters (Invited)

Zhiyuan Li1,2,3、*, Dan Li1,2,3, Pengfei Duan1,2,3, Hao Tian1,2,3,4, Shuang Wang5, and Tiegen Liu5
Author Affiliations
  • 1Chinese Aeronautical Establishment, Beijing 100012, China
  • 2China Airborne Missile Academy, Luoyang 471009, Henan , China
  • 3AVIC Future Airborne Weapons Technology Collaborative Innovation Center, Beijing 100012, China
  • 4School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, Shaanxi , China
  • 5School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
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    Figures & Tables(9)
    Continuous grayscale images of the field of view approaching the"Ghost"target aircraft (image source: internet)
    Multivariate statistical parameter normalized results and processing time for continuous grayscale images of the field of view approaching"Ghost"target aircraft
    Continuous grayscale images of AIM-9X destroying the target aircraft (image source: internet)
    Multivariate statistical parameter normalized results and processing time of continuous grayscale images for AIM-9X destroying the target aircraft
    Continuous grayscale images of the explosion and disintegration for the target aircraft (image source: internet)
    Multivariate statistical parameter normalized results and processing time of continuous grayscale images for explosion and disintegration of the target aircraft
    • Table 1. Multivariate statistical parameters and processing time of continuous grayscale images of the field of view approaching"Ghost"target aircraft

      View table

      Table 1. Multivariate statistical parameters and processing time of continuous grayscale images of the field of view approaching"Ghost"target aircraft

      ImageAavgSHETime /s
      Fig. 1(a)139.9467255.80745.958819.31590.143
      Fig. 1(b)139.6989269.10085.966018.85210.128
      Fig. 1(c)146.2547714.67366.633612.55670.129
      Fig. 1(d)125.06812171.30006.610713.64550.114
    • Table 2. Multivariate statistical parameters and processing time of continuous grayscale images for AIM-9X destroying the target aircraft

      View table

      Table 2. Multivariate statistical parameters and processing time of continuous grayscale images for AIM-9X destroying the target aircraft

      ImageAavgSHETime /s
      Fig. 3(a)141.898574.48454.281865.04210.214
      Fig. 3(b)141.283081.63324.341862.92340.329
      Fig. 3(c)141.146683.25934.287665.50470.335
      Fig. 3(d)138.3662134.02064.223373.93900.356
      Fig. 3(e)139.4508174.24844.282774.02330.318
    • Table 3. Multivariate statistical parameters and processing time of continuous grayscale images for explosion and disintegration of the target aircraft

      View table

      Table 3. Multivariate statistical parameters and processing time of continuous grayscale images for explosion and disintegration of the target aircraft

      ImageAavgSHETime /s
      Fig. 5(a)82.0537249.25043.2875138.00770.548
      Fig. 5(b)90.71321659.00004.401477.33250.543
      Fig. 5(c)96.58662379.40004.831962.70300.614
      Fig. 5(d)100.87832796.30005.193852.83400.583
      Fig. 5(e)99.00862983.50005.178150.53370.557
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    Zhiyuan Li, Dan Li, Pengfei Duan, Hao Tian, Shuang Wang, Tiegen Liu. Research on Continuous Grayscale Image Feature Analysis of Airborne Targets Based on Multivariate Statistical Parameters (Invited)[J]. Laser & Optoelectronics Progress, 2025, 62(19): 1906030

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jun. 11, 2025

    Accepted: Jul. 31, 2025

    Published Online: Sep. 29, 2025

    The Author Email: Zhiyuan Li (zhiyuanli@tju.edu.cn)

    DOI:10.3788/LOP251434

    CSTR:32186.14.LOP251434

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