Jie YE, Fanxiao MENG, Weiming BAI, Bin ZHANG, Jinming ZHENG. A Comparative Study on the Classification of GF-1 Remote Sensing Images for Zhoukou Urban under the Four Identical Condition [J]. Journal of Geo-information Science, 2020, 22(10): 2088
- Journal of Geo-information Science
- Vol. 22, Issue 10, 2088 (2020)
Fig. 1. Fusion remote sensing image of GF-1 satellite for the main districts of Zhoukou acquired on April 17, 2018
Fig. 2. Workflow of object-based classification in the study area
Fig. 3. The distribution of training, verification sample and investigation site
Fig. 4. Comparison of pixel-based and object-based classification under three machine learning classifiers including CART, SVM and RF using GF-1 remote sensing image for classing the main district of Zhoukou urban
Fig. 5. Comparison of producer's accuracy and user's accuracy of pixel-based classification（under three machine learning classifiers including CART, SVM and RF） for Zhoukou urban at class level
Fig. 6. Comparison of producer's accuracy and user's accuracy of object-based classification（under three machine learning classifiers including CART, SVM and RF） for Zhoukou urban at class level
Fig. 7. Comparison of local details of pixel-based and object-based classification for Zhoukou urban under three machine learning classifiers including CART, SVM and RF
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Table 1. The parameters of GF-1 satellite image
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Table 2. Optimal feature set for object-based classifications
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Table 3. Confusion matrices and associated classifier accuracies based on pixel-based and object-based classifications under three machine learning classifiers including CART, SVM and RF using GF-1 remote sensing image for classing the main district of Zhoukou urban
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