西北林学院学报2011，Vol.26Issue(5)：185-191,7.
基于C5.0算法的森林资源变化检测方法研究——以山东省徂徕山林区为例
Methodsological Study on the Detection of the Variations of Forest Resources Based on C5.0 Algorithm——A Case of Culai Forest in Shandong
摘要
Abstract
With double-temporal TM and ETM+ remote sensing data, the information of the variation of forest resources of Culai Mountain in Shandong Province, China was explored. Decision tree classification based on C5. 0 algorithm to forest change detection was applied. Three different detection methods were compared:1) to classify single-temporal data by C5. 0 respectively, and extract change information after comparing classification results;2) to create C5. 0 train rules through double-temporal raw data,then generate change detection map;3) in addition to double-temporal remote sensing data,neighborhood correlation analysis images are also added as one of the data sources of C5. 0,and generate change detection map of variation. The experimental result shows that decision tree classification based on C5. 0 algorithm could detect variation information effectively, and after adding neighborhood correlation analysis images the classification accuracy of change detection was improved.关键词
变化检测；C5.0；决策树；邻近相关分析Key words
change detection/C5. 0/decision tree/neighborhood correlation analysis分类
农业科技引用本文复制引用
王志慧,李世明,张艺伟..基于C5.0算法的森林资源变化检测方法研究——以山东省徂徕山林区为例[J].西北林学院学报,2011,26(5):185-191,7.基金项目
中央级公益性科研院所基本科研业务费专项课题(IFRIT200805)；林业公益性行业科研专项(200804001). （IFRIT200805）
