Ang CHEN, Xiuchun YANG, Bin XU, Yunxiang JIN, Wenbo ZHANG, Jian GUO, Xiaoyu XING, Dong YANG. Research on Recognition Methods of Elm Sparse Forest based on Object-based Image Analysis and Deep Learning [J]. Journal of Geo-information Science, 2020, 22(9): 1897
- Journal of Geo-information Science
- Vol. 22, Issue 9, 1897 (2020)
Fig. 1. Location map of study area in Hunshandake sandy land
Fig. 2. Flow chart of research methods
Fig. 3. Deep learning training samples
Fig. 4. LV and LV-ROC Curves of UAV Image
Fig. 5. Optimum segmentation of elm sparse forest in UAV image
Fig. 6. LV and LV-ROC Curves of GF-2 Image
Fig. 7. Optimum segmentation of elm sparse forest in GF-2 image
Fig. 8. Sequencing of the Importance of UAV image features
Fig. 9. Sequencing of the Importance of GF-2image features
Fig. 10. Accuracy comparison of SVM、RF、DNN used in OBIA
Fig. 11. Accuracy comparison between object-based method and deep learning method
Fig. 12. Comparison of extraction result between OBIA and deep learning for elm sparse forest
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Table 1. UAV flight parameters
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Table 2. Feature list in OBIA
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Table 3. Results of GF-2 image using deep learning method
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Table 4. Results of UAV image using deep learning method
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