• Remote Sensing Technology and Application
  • Vol. 39, Issue 5, 1075 (2024)
Zhicheng CHEN, Huawei WAN, Fengming WAN, Jixi GAO..., Lin SUN and Bin YANG|Show fewer author(s)
Author Affiliations
  • Center for Satellite Application on Ecology and Environment,Ministry of Ecology and Environment, Beijing100094, China
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    DOI: 10.11873/j.issn.1004-0323.2024.5.1075 Cite this Article
    Zhicheng CHEN, Huawei WAN, Fengming WAN, Jixi GAO, Lin SUN, Bin YANG. Two-stage Grassland Degradation Indicator Species Classification based on Improved Unet Model for UAV Images[J]. Remote Sensing Technology and Application, 2024, 39(5): 1075 Copy Citation Text show less
    Image of the study area
    Fig. 1. Image of the study area
    UAV data acquisition system
    Fig. 2. UAV data acquisition system
    Two-stage classification process flow chart
    Fig. 3. Two-stage classification process flow chart
    RepVGG structure diagram
    Fig. 4. RepVGG structure diagram
    MyBlock structure diagram
    Fig. 5. MyBlock structure diagram
    Improved the network structure diagram
    Fig. 6. Improved the network structure diagram
    Unet and the method in this paper compared the training iteration graph
    Fig. 7. Unet and the method in this paper compared the training iteration graph
    Phase I object detection results (Part)
    Fig. 8. Phase I object detection results (Part)
    Phase II classification results (Part)
    Fig. 9. Phase II classification results (Part)
    模型mAP/%Precision/%Recall/%
    YOLOv597.9495.0193.01
    Table 1. Object detection model classification results
    模型MIoU/%F1/%

    召回率/%

    (冷蒿)

    召回率/%

    (银灰旋花)

    精度/%

    (冷蒿)

    精度/%

    (银灰旋花)

    模型大小/MBParams/MFLOPs/G
    Unet79.8688.8390.7488.4282.2394.1951.313 395 589124.23
    本文方法90.9993.3893.1597.0695.8495.1117.54 596 23815.34
    Table 2. Model performance comparison
    Zhicheng CHEN, Huawei WAN, Fengming WAN, Jixi GAO, Lin SUN, Bin YANG. Two-stage Grassland Degradation Indicator Species Classification based on Improved Unet Model for UAV Images[J]. Remote Sensing Technology and Application, 2024, 39(5): 1075
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