Guiling Zhao, Pengnian Li, Quanrong Guo, Maolin Tan. Classification of Forest Types using UAV Remote Sensing Images Based on Improved Ant Colony Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1628002
- Laser & Optoelectronics Progress
- Vol. 59, Issue 16, 1628002 (2022)
Fig. 1. Classification effect under test set. (a) Blood; (b) Vehicle; (c) Statlog; (d) Glass; (e) Haberman
Fig. 2. Geographical location of the study area
Fig. 3. Gabor filter banks and processing results of different ground features. (a) Filter bank; (b) needle-broad-leaved mixed forest; (c) coniferous forest; (d) broad-leaved forest; (e) bare land; (f) water
Fig. 4. Diagram of owner principal component analysis. (a) Needle-broad-leaved mixed forest; (b) coniferous forest; (c) broad-leaved forest; (d) bare land; (e) water bodies
Fig. 5. 5 types of ground feature samples. (a) Needle-broad-leaved mixed forest; (b) coniferous forest; (c) broad-leaved forest; (d) bare land; (e) water
Fig. 6. Confusion matrix of recognition results without texture features
Fig. 7. Confusion matrix of recognition results under GLMC feature
Fig. 8. Confusion matrix of recognition results under Gabor feature
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Table 1. Public dataset properties
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Table 2. Optimal classification results of five data sets
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Table 3. Recognition accuracy of different classification models
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