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- W2380285715 abstract "To enhance the accuracy of image classification,proposed hybrid multiple classifier combination method from abstract level and measurement level.Firstly,used different sub-classifiers and the accuracy of different classes.Secondly,after set the threshold value of different single class accuracy,obtained the optimal sub-classifier to get final results of partial classes.Thirdly,combined Bagging algorithm at abstract level and the most large confidence algorithm at measurement level to classify other classes.Finally,used this method in Beijing-1 image classification shows a better enhancement,and results also indicate that the hybrid multi-classifier combination algorithm is a newly effective algorithm." @default.
- W2380285715 created "2016-06-24" @default.
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- W2380285715 date "2009-01-01" @default.
- W2380285715 modified "2023-09-25" @default.
- W2380285715 title "Application research of hybrid multi-classifier combination algorithm on remote sensing image classification" @default.
- W2380285715 hasPublicationYear "2009" @default.
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