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- W2367084611 abstract "It is very difficult to acquire satisfy classification result only using spectral information and textual information has its disadvantage to improve classification accuracy,such as it is difficult to select a suitable textual extraction algorithm and optimal window size.A prior knowledge and spectral information combined decision method is proposed and Bayes rule is selected to merge prior knowledge and spectral information at decision level.Result shows that classification accuracy improves greatly.The overall accuracy acquired only by spectral information is 81.89%,the overall accuracy acquired by merging information derived from DEM is 88.75%,and the overall accuracy acquired by merging information derived from land use database is 94.41%." @default.
- W2367084611 created "2016-06-24" @default.
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- W2367084611 date "2010-01-01" @default.
- W2367084611 modified "2023-09-23" @default.
- W2367084611 title "A Prior Knowledge & Spectral Information Combined Decision Method for Land Use/Land Cover Classification" @default.
- W2367084611 hasPublicationYear "2010" @default.
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