• Acta Optica Sinica
  • Vol. 40, Issue 1, 0111018 (2020)
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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    DOI: 10.3788/AOS202040.0111018 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Architecture of ship detection network
    Fig. 1. Architecture of ship detection network
    Block of residual connection (Res-Conv2D)
    Fig. 2. Block of residual connection (Res-Conv2D)
    Ship models and infrared imaging system. (a) Infrared imaging system; (b) flume; (c) ship models; (d) surface ship
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. Variation of binary cross-entropy loss in training processing for four networks
    Variation of pixel accuracy in training processing for four networks
    Fig. 6. 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
    Fig. 7. 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
    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
    Table 1. [in Chinese]
    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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