• Laser & Optoelectronics Progress
  • Vol. 60, Issue 16, 1628004 (2023)
Zhe He1,2, Yuxiang Tao1,2,*, Xiaobo Luo1,2, and Hao Xu1,2
Author Affiliations
  • 1School of Computer Sciences and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 2Spatial Big Data Research Center, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    DOI: 10.3788/LOP222634 Cite this Article Set citation alerts
    Zhe He, Yuxiang Tao, Xiaobo Luo, Hao Xu. Road Extraction from Remote Sensing Image Based on an Improved U-Net[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1628004 Copy Citation Text show less
    Overall structure of HSA-UNet
    Fig. 1. Overall structure of HSA-UNet
    Comparison of three structures. (a) Plain unit; (b) residual unit; (c) ARLU
    Fig. 2. Comparison of three structures. (a) Plain unit; (b) residual unit; (c) ARLU
    AFF module
    Fig. 3. AFF module
    AE-ASPP module
    Fig. 4. AE-ASPP module
    SAM
    Fig. 5. SAM
    Training samples and labels
    Fig. 6. Training samples and labels
    Road prediction diagrams of proposed network and other networks
    Fig. 7. Road prediction diagrams of proposed network and other networks
    No.BASEARLUAE-ASPPRIoU /%
    162.41
    264.65

    3

    4

    64.24

    65.60

    Table 1. Comparison of evaluation result of ablation experiment
    ModelRPreciousRRecallSF1RIoU
    U-Net80.7173.3476.8162.41
    SegNet75.8274.0974.9559.93
    ResUnet81.4272.5376.7262.23
    DeepLabV3+80.0170.4674.9459.92
    D-LinkNet75.3579.6777.4563.20
    NL-LinkNet75.2780.2677.6763.51
    GC-DCNN82.6474.2878.2464.26
    HSA-UNet80.5077.9979.2365.60
    Table 2. Comparison of road extraction result of different networks unit: %
    Zhe He, Yuxiang Tao, Xiaobo Luo, Hao Xu. Road Extraction from Remote Sensing Image Based on an Improved U-Net[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1628004
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