Pengqin Dai, Lixia Ding, Lijuan Liu, Luofan Dong, Yiting Huang. Tree Species Identification Based on FCN Using the Visible Images Obtained from an Unmanned Aerial Vehicle[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101001
- Laser & Optoelectronics Progress
- Vol. 57, Issue 10, 101001 (2020)
Fig. 1. Res-U-Net model
Fig. 2. Flow chart of proposed method
Fig. 3. Global average score for each segmentation scale
Fig. 4. Vegetation image and object-oriented segmentation results in the study area
Fig. 5. Label making. (a) Label map; (b) rotation of the sample and corresponding label
Fig. 6. Relationship between ntree and OOB error
Fig. 7. Average drop accuracy rate of each characteristic variable
Fig. 8. Loss and accuracy change during training. (a) Loss; (b) accuracy
Fig. 9. Classification results by different methods. (a) Groundtruth map; (b) FCN method with fused data including original RGB data, VDVI data and ExG-ExR data; (c) FCN method with original RGB data; (d) RF method with 33 feature variables
Fig. 10. Correction of FCN classification results by object-oriented segmentation. (a) Before object-oriented amendments; (b) after object-oriented amendments
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Table 1. Accuracy evaluation of classification of UAV images
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Table 2. Correction of FCN classification results by object-oriented segmentation
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