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基于ENVI的决策树方法在土地利用分类中的应用
引用本文:秦臻,汪云甲,王行风,阚俊峰,李晓霞.基于ENVI的决策树方法在土地利用分类中的应用[J].金属矿山,2011,40(2):133.
作者姓名:秦臻  汪云甲  王行风  阚俊峰  李晓霞
作者单位:1.中国矿业大学;2.江苏省资源环境信息工程重点实验室;3.国土环境与灾害监测国家测绘局重点实验室
基金项目:国家环保部公益性行业专项基金项目(编号:200809128),国家自然科学基金项目(编号:50774080,40971275)
摘    要:以陕西省榆林市神木县北部神府东胜矿区为研究区,利用Landsat ETM影像,在ENVI软件的支持下,分析了影像的光谱特征及NDVI,NDBI,NDWI特征值,并对影像进行缨帽变换,确定各地类的综合阈值,建立决策树模型,得到分类结果,并且评价了决策树分类在遥感数据分类中的作用。

关 键 词:遥感影像  决策树模型  缨帽变换  土地分类

Application of Decision Tree based on ENVI to the Classification of Land Utilization
Qin Zhen,Wang Yunjia,Wang Xingfeng,Kan Junfeng,Li Xiaoxia.Application of Decision Tree based on ENVI to the Classification of Land Utilization[J].Metal Mine,2011,40(2):133.
Authors:Qin Zhen  Wang Yunjia  Wang Xingfeng  Kan Junfeng  Li Xiaoxia
Affiliation:1.China University of Mining and Technology;2.Jiangsu Key Laboratory of Resources and ; EnvironmentalInformation Engineering;3.Key Laboratory for Land Environment and Disaster Monitoring of SBSM;
Abstract:Taking Shenfu Dongsheng mine in north of Yulin Shenmu County,Shanxi Province as a study case,and with the support of ENVI software,Landsat ETM image was used to analyze the spectral characteristics of the image and its value of  NDVI,NDBI,NDWI. and this image was transformed with tasseled cap to determine the threshold value for different lands and build a decision tree.Then,the classification results were obtained and the role of decision tree in remote sensing data classification was evaluated.
Keywords:Remote sensing image  Decision tree model  Tasseled cap  Land classification
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