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- W2371736691 abstract "CART was a kind of non-parameter classification and regression method,which used multi-source data to improve classification accuracy when used in automatic classification based on remote sending images.Taking Yanbian area in Jilin Province as a case study,classification and regression tree(CART) was used to classify the ETM image.Classification tree model integrated spectral,texture and the assistant geographical characteristics.The results showed that the accuracy of classification based on the CART was higher than the MLC supervised classification method.And its total classification accuracy was 90.37%,Kappa coefficient was 0.8863." @default.
- W2371736691 created "2016-06-24" @default.
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- W2371736691 date "2011-01-01" @default.
- W2371736691 modified "2023-09-26" @default.
- W2371736691 title "CART-based on Decision Tree Classifier Using Multi-feature of ETM Image——A Case Study in Yanbian Area" @default.
- W2371736691 hasPublicationYear "2011" @default.
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