基于决策树理论的土地利用分类 |
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引用本文: | 陈民,王宁,段国宾,王玖玲,童文彬,于学政.基于决策树理论的土地利用分类[J].东北测绘,2014(1):69-72. |
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作者姓名: | 陈民 王宁 段国宾 王玖玲 童文彬 于学政 |
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作者单位: | [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 |
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基金项目: | 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 |
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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。
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关 键 词: | ENVI 土地利用分类 决策树模型 精度评价 |
The Classification of Land Use Based on the Theory of Decision Tree |
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Institution: | CHEN Min , WANG Ning , DUAN Guo - bin , WANG Jiu - ling , TONG Wen - bin , YU Xue - zheng (1. China University of Mining and Technology, Beijing 100083, China; 2. China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, China) |
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Abstract: | 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. |
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Keywords: | ENVI land - use classification decision tree model accuracy evaluation |
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