Acta Photonica Sinica, Volume. 50, Issue 12, 1228001(2021)

Long-distance Ship Type Recognition Based on Airborne Photon Radar

Shuo WEI1...2, Nanxiang ZHAO1,2,*, Yihua HU1,2, Wanshun SUN1,2, and Biao LIU12 |Show fewer author(s)
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, Electronic Warfare Academy State Key Laboratory of Pulsed Power Laser Technology , National University of Defense Technology, Hefei 230037,China
  • 2Advanced Laser Technology Anhui Laboratory, Hefei 230037,China
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    Figures & Tables(14)
    Sea surface point cloud in MABEL data
    Sea scene detected from the right
    The scene after removing the sea surface
    Scenes containing different types of ships
    Clustering scene
    Concentric circular division method
    The angle between the two ends of the ship
    Models of different types of ships
    • Table 1. Circular space division method experiment

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      Table 1. Circular space division method experiment

      Rings

      Number

      12345
      383%91%91%75%83%
      4100%91%91%100%91%
      591%91%91%91%91%
      683%83%91%83%83%
      791%83%91%83%91%
      891%91%91%91%100%
      991%91%91%91%91%
      10100%91%100%100%100%
    • Table 2. Classification results of routine method vector histogram

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      Table 2. Classification results of routine method vector histogram

      Interval

      Number

      12345
      2025%17%33%25%17%
      3017%17%17%17%17%
      4517%17%17%17%17%
      6017%17%17%33%17%
    • Table 3. Classification results of optimized post-method vector histogram

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      Table 3. Classification results of optimized post-method vector histogram

      Interval

      Number

      12345
      2067%58%67%75%75%
      3050%58%58%50%83%
      4567%75%75%67%100%
      6067%50%67%58%58%
    • Table 4. Partial data of different types of ship models

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      Table 4. Partial data of different types of ship models

      Ship typeMLong/mWidth/mHigh/m
      Cruisers2.531832056(25)
      Aircraft carriers2.773157560
      Frigates2.861481632(24)
      Destroyers2.611602030
      Fishing ships2.841123082.5(30)
      Medical ships2.852703448
      Landing ships2.631191626(18)
      Crane ships2.681703873(28)
      Cargo ships2.821202440
      Scientific research ships2.731672632
      Container ships2.971202440
      Cruise ships2.64258100172
      Medium-sized aircraft carriers2.551983849
    • Table 5. Random forest algorithm 7 classification results

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      Table 5. Random forest algorithm 7 classification results

      Training numberNumber of decision treesFeature numberNumber of misclassificationsNumber of correct classificationsCorrect rate
      14012026100%
      24012026100%

      3

      4

      40

      40

      12

      12

      1

      0

      25

      26

      96.15%

      100%

      54012026100%
      6401212596.15%
      74012026100%
    • Table 6. Second classification result

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      Table 6. Second classification result

      Training numberNumber of decision treesFeature numberNumber of misclassificationsNumber of correct classificationsCorrect rate
      140912596.15%
      240912596.15%
      340922492.31%
      440912596.15%
      540912596.15%
      6409026100%
      740922492.31%
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    Shuo WEI, Nanxiang ZHAO, Yihua HU, Wanshun SUN, Biao LIU. Long-distance Ship Type Recognition Based on Airborne Photon Radar[J]. Acta Photonica Sinica, 2021, 50(12): 1228001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 23, 2021

    Accepted: Aug. 25, 2021

    Published Online: Jan. 25, 2022

    The Author Email: ZHAO Nanxiang (southfly@163.com)

    DOI:10.3788/gzxb20215012.1228001

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