• Laser & Optoelectronics Progress
  • Vol. 60, Issue 6, 0628003 (2023)
Zhipeng Su1, Jingwen Li1、2、*, Jianwu Jiang1、2, Yanling Lu1、2, and Ming Zhu3
Author Affiliations
  • 1College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, Guangxi, China
  • 2Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, Guangxi, China
  • 3Natural Resources Information Center of Guangxi Zhuang Atuonomous Region, Naning 510023, Guangxi, China
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    DOI: 10.3788/LOP213268 Cite this Article Set citation alerts
    Zhipeng Su, Jingwen Li, Jianwu Jiang, Yanling Lu, Ming Zhu. Semantic Segmentation Method for Remote Sensing Images Based on Improved DeepLabV3+[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0628003 Copy Citation Text show less
    Overall structure diagram of AFSM-Net
    Fig. 1. Overall structure diagram of AFSM-Net
    Feature map cut. (a) k=2; (b) k=3; (c) k=4
    Fig. 2. Feature map cut. (a) k=2; (b) k=3; (c) k=4
    Structure of feature extraction network
    Fig. 3. Structure of feature extraction network
    Schematic diagram of channel attention
    Fig. 4. Schematic diagram of channel attention
    Spatial attention diagram
    Fig. 5. Spatial attention diagram
    Real images and marked images
    Fig. 6. Real images and marked images
    Comparison of experimental results. (a) Original images; (b) image labels; (c) FCN processing results; (d) U-Net processing results; (e) SegNet processing results; (f) DeepLabV3+ processing results; (g) AFSM-Net processing results
    Fig. 7. Comparison of experimental results. (a) Original images; (b) image labels; (c) FCN processing results; (d) U-Net processing results; (e) SegNet processing results; (f) DeepLabV3+ processing results; (g) AFSM-Net processing results
    IDBaselineCASAMIoU /%
    a××82.58
    b×84.26
    c×85.02
    d86.78
    Table 1. Comparison of evaluation results of ablation experiment on CFF test set
    IDkMIoU /%
    a179.65
    b286.40
    c383.64
    d480.02
    Table 2. Experimental results of different cutting ratios
    AlgorithmVegetationBuildingWaterRoadOAMIoU
    FCN70.2271.5569.2570.2270.3170.84
    U-Net81.8580.2680.3279.8480.5775.26
    SegNet83.4683.2882.8482.7883.0979.45
    DeepLabV3+88.2688.5387.0088.4588.5682.48
    AFSM-Net90.4690.5689.8489.6490.1386.42
    Table 3. Classification accuracy of different algorithms
    Zhipeng Su, Jingwen Li, Jianwu Jiang, Yanling Lu, Ming Zhu. Semantic Segmentation Method for Remote Sensing Images Based on Improved DeepLabV3+[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0628003
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