Zihui GUO, Wei LIU. Land Type Interpretation Authenticity Check of Vector Patch Supported by Deep Learning and Remote Sensing Image [J]. Journal of Geo-information Science, 2020, 22(10): 2051
- Journal of Geo-information Science
- Vol. 22, Issue 10, 2051 (2020)
Fig. 1. A sketch of the task of checking the authenticity of the land type interpretation of vector patches
Fig. 2. The technical route of the check of the authenticity of the land type interpretation of vector patches
Fig. 3. Research area overview and samples
Fig. 4. Purification process of self-labeled samples
Fig. 5. Inception module
Fig. 6. Structure diagram of the Inception_v3 model
Fig. 7. Effect of learning rate attenuation coefficient on model accuracy
Fig. 8. Inception_v3 learning rate dynamic curve
Fig. 9. Training accuracy change of Inception_v3 model
Fig. 10. Optimal grid schema in authenticity check of geographic interpretation
Fig. 11. Some suspicious spots
Fig. 12. Land use types with low characteristic differentiation
Fig. 13. The results of the check of the authenticity of the land type interpretation of vector patches in Dawu Town
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Table 1. [in Chinese]
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Table 2. Comparison of model effects used in scene classification
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Table 3. Super parameter information
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Table 4. Model classification results
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Table 5. Effect of the check of the authenticity of the land type interpretation of vector patches
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