• Acta Photonica Sinica
  • Vol. 49, Issue 7, 710004 (2020)
Wen-xu SHI1、2, Jin-hong JIANG1、2, and Sheng-li BAO1、2
Author Affiliations
  • 1Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610081, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/gzxb20204907.0710004 Cite this Article
    Wen-xu SHI, Jin-hong JIANG, Sheng-li BAO. Ship Detection Method in Remote Sensing Image Based on Feature Fusion[J]. Acta Photonica Sinica, 2020, 49(7): 710004 Copy Citation Text show less
    SSD overall framework
    Fig. 1. SSD overall framework
    SSD framework for detection
    Fig. 2. SSD framework for detection
    MSSDN overall framework and the feature fusion mode map of layer Conv8_2
    Fig. 3. MSSDN overall framework and the feature fusion mode map of layer Conv8_2
    Comparison of feature maps before and after feature fusion
    Fig. 4. Comparison of feature maps before and after feature fusion
    Samples of the dataset
    Fig. 5. Samples of the dataset
    Histograms of the distribution of the area size and aspect ratio of the bounding boxes
    Fig. 6. Histograms of the distribution of the area size and aspect ratio of the bounding boxes
    The detection results of four methods
    Fig. 7. The detection results of four methods
    Example of detection results of fuzzy ship targets by MSSDN and SSD
    Fig. 8. Example of detection results of fuzzy ship targets by MSSDN and SSD
    MethodBackboneInputsizeAP(%)@0.5AP(%)@0.7Speed/FPS
    FastR-CNN[11]VGG161 000×60065.648.20.07
    FasterR-CNN[12]VGG161 000×60073.153.24.4
    YOLO[13]GoogleNet448×44868.150.170.2
    YOLOV2[14]DarkNet19544×54474.264.659.2
    SSD[16]VGG16300×30076.468.763.6
    DSSD[17]ResNet101321×32178.170.49.5
    FSSD[18]VGG16300×30080.871.647.1
    MSSDN(ours)VGG16300×30081.772.243.2
    Table 1. Comparison of experimental results
    Wen-xu SHI, Jin-hong JIANG, Sheng-li BAO. Ship Detection Method in Remote Sensing Image Based on Feature Fusion[J]. Acta Photonica Sinica, 2020, 49(7): 710004
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