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一种干旱半干旱地区决策树分类方法
引用本文:刘清臣,张舞燕,孟秀军.一种干旱半干旱地区决策树分类方法[J].测绘与空间地理信息,2014(7):62-65.
作者姓名:刘清臣  张舞燕  孟秀军
作者单位:[1]河南理工大学矿山空间信息国家测绘地理信息局重点实验室,河南焦作454000 [2]中国地震局地质研究所地震动力学国家重点实验室,北京100029
基金项目:河南理工大学研究生创新基金(重点)(2011-M-04)资助
摘    要:以内蒙古自治区伊金霍洛旗为研究区,利用Landsat TM影像,对干旱半干旱地区土地利用信息进行提取。在ENVI软件的支持下,分析了影像的光谱特征及NDVI,NDBI,NDWI特征变量,并运用灰度共生矩阵对影像进行纹理特征提取,得到熵纹理特征图像,确定各类地物的阈值,运用决策树分类法对影像进行分类。结果表明,结合光谱特征和纹理特征的决策树分类方法,提取干旱半干旱地区土地利用信息可行且准确性较高。

关 键 词:遥感影像  决策树分类  光谱特征  纹理特征

A Classification Method of Decision Tree in Arid and Semi-Arid Regions
Institution:LIU Qing -chen, ZHANG Wu -yan , MENG Xiu - jun ( 1. Henan Polytechnic University, Key Lab. of Mine Spatial Information Technologies of NASMG, Jiaozuo 454000, China; 2. State Key Lab. of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China)
Abstract:Taking case of Ejin Horo County, Inner Mongolia Autonomous Region, the information of land - use is extracled from Landsat TM image in arid and semi-arid regions. With the support of ENVI software, the image is used to analyze the spectral characteris-tics and its value of NDVI, NDBI, and NDWI. The texture infnrmation of image including the entropy is acquired by means of using Gay Level Co - occurrence Matrices. Then the classification results are obtained and the image is classified by the decision tree classi-fication method. The result indicate that the decision tree classification based on spectral and texture features extracting the iniormation of land-use in arid and semi-arid regions has satisfactory performance.
Keywords:remote sensing image  decision tree classification  spectral features  texture features
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