基于决策树理论的土地利用分类  

The Classification of Land Use Based on the Theory of Decision Tree

作　　者：陈民[1] 王宁[1] 段国宾[1] 王玖玲[1] 童文彬[1] 于学政[2] 

机构地区：[1]中国矿业大学(北京),北京100083 [2]中国国土资源航空物探遥感中心,北京100083

出　　处：《测绘与空间地理信息》2014年第1期69-72,共4页Geomatics & Spatial Information Technology

基　　金：全国矿产资源潜力评价物探化探遥感自然重砂综合信息评价项目(1212030713203)资助

摘　　要：首先,阐述了决策树分类器的结构与理论基础;然后,以安徽省滁州市为例,利用Landsat ETM+遥感影像数据和DEM数据,在ENVI软件的支持下,结合影像的光谱特征及NDVI,NDBI特征值,参考C4.5算法(决策树生成算法),建立了土地利用分类的决策树模型并进行了分类;最后,对分类结果进行了精度评价。研究区结果表明决策树分类法效果较好,精度较高。This paper first describes the structure and theoretical basis of the decision tree classifier. Taking Chuzhou city, Anhui province as a study case and with the support of ENVI software, Landsat ETM ＋ image and DEM are used to analyze the spectral char- acteristics of the image and its value of NDVI, NDBL Then by referencing C4.5 algorithm （the generation algorithm decision tree）, a decision tree model of land - use classification was built and the accuracy of results are evaluated. The classification results of the study area show that the method is more effective and accurate.

关 键 词：ENVI 土地利用分类 决策树模型 精度评价 

分 类 号：P237[天文地球—摄影测量与遥感]