基于决策树理论的土地利用分类

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 , NDBI.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 .