基于C5.0的钱塘江流域地区土地利用/覆被信息提取研究

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Abstract

Based on the 348 km² experimental area located at the middle part of Qiantang River,the research integrated NDVI,texture features, elevation and slope features generated from DEM and other spatial data,extended SPOT5 image's spectrum features,and automatically extracted land-use information by C5.0 Algorithm.Comparing to the maximum likelihood classification,the result showed the validity of training samples and usage of assistant feature data could eliminate the disturbing information.When the number of sample points increased, the accuracy of classification could be improved subsequently.The rules were easy to understand while the accuracy was the same,when decision tree changed to the decision rules.By using C5.0 Algorithm,the total accuracy could reach 94.68%,which was 7.37% higher than maximum likelihood classification.C5.0 Algorithm achieved high accuracy classification,which is one of the quick and accurate methods to extract land-use information on Qiantang River drainage area.

Key words： decision tree decision rules SPOT5 image feature selection and extraction normalized difference vegetation index(NDVI)

Received: 25 October 2012

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	Articles by authors
	GAO Yu-rong
	XU Hong-wei
	DING Xiao-dong

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GAO Yu-rong,XU Hong-wei,DING Xiao-dong. Extraction of land use/cover information based on C5.0 Algorithm in Qiantang River drainage area[J]. , 2012, 31(5): 481-487.

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http://www.ecolsci.com/EN/ OR http://www.ecolsci.com/EN/Y2012/V31/I5/481

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