Infrared and Laser Engineering, Volume. 49, Issue 7, 20200170(2020)

Lightweight feature fusion network design for local feature recognition of non-cooperative target

Yunfei Xu1... Duzhou Zhang2,*, Li Wang1 and Baocheng Hua1 |Show fewer author(s)
Author Affiliations
  • 1北京控制工程研究所 空间光电测量与感知实验室,北京 100190
  • 2中国空间技术研究院,北京 100094
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    Figures & Tables(11)
    Design idea of NCDN
    SSD framework based on feature fusion
    Convolutional architecture of MobileNet Depthwise/Pointwise
    Convolution channel compression
    Tango(左)与Mango(右)
    Local feature definition and label of SPEED
    Scale changes of target on SPEED
    Comparison effects of NCDN at different distances
    mAP comparison of model changes at different distances
    • Table 1. Meaning of variables in camera model

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      Table 1. Meaning of variables in camera model

      VariablesMeaningVariables’ value/m
      Focus0.0176
      Actual size of Tango
      Pixel size of detector
    • Table 2. Influence of channel compression on NCDN

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      View in Article

      Table 2. Influence of channel compression on NCDN

      Channel compression rateStorage space of model/MBRelative accuracy loss
      19.00%
      10.31%
      5.12%
      2.25%
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    Yunfei Xu, Duzhou Zhang, Li Wang, Baocheng Hua. Lightweight feature fusion network design for local feature recognition of non-cooperative target[J]. Infrared and Laser Engineering, 2020, 49(7): 20200170

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    Paper Information

    Category: 图像处理

    Received: Mar. 6, 2020

    Accepted: --

    Published Online: Aug. 19, 2020

    The Author Email:

    DOI:10.3788/IRLA20200170

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