Acta Optica Sinica, Volume. 40, Issue 1, 0111018(2020)

Infrared-Remote-Sensing Ship Detection Based on Lightweight Residual Network

Tianyou Zhu1,2,3, Lingfeng Huang1,2,3, Feng Dong1,2, and Huixing Gong1,2、*
Author Affiliations
  • 1Key Laboratory of Infrared System 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
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    Figures & Tables(8)
    Architecture of ship detection network
    Block of residual connection (Res-Conv2D)
    Ship models and infrared imaging system. (a) Infrared imaging system; (b) flume; (c) ship models; (d) surface ship
    Samples of ship dataset production. (a) Original data; (b) data labeled by LabelMe
    Variation of binary cross-entropy loss in training processing for four networks
    Variation of pixel accuracy in training processing for four networks
    Output results. (a) Input images; (b) output results of manual annotation; (c) output results of BS-Net; (d) output results of BRS-Net; (e) output results of TS-Net; (f) output results of TRS-Net
    • Table 1. [in Chinese]

      View table

      Table 1. [in Chinese]

      NetworkβPAPRF1-scoreβIoU
      BS-Net95.7634.4675.2747.2730.95
      BRS-Net98.7084.7859.3169.7953.60
      TS-Net99.1893.4672.6081.7269.09
      TRS-Net99.3188.7383.3485.9575.36
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    Tianyou Zhu, Lingfeng Huang, Feng Dong, Huixing Gong. Infrared-Remote-Sensing Ship Detection Based on Lightweight Residual Network[J]. Acta Optica Sinica, 2020, 40(1): 0111018

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    Paper Information

    Category: Special Issue on Computational Optical Imaging

    Received: Jul. 26, 2019

    Accepted: Sep. 9, 2019

    Published Online: Jan. 6, 2020

    The Author Email: Gong Huixing (hxgong@mail.sitp.ac.cn)

    DOI:10.3788/AOS202040.0111018

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