一种干旱半干旱地区决策树分类方法 |
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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, 0(7): 62-65 |
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作者姓名: | 刘清臣 张舞燕 孟秀军 |
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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 |
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基金项目: | 河南理工大学研究生创新基金(重点)(2011-M-04)资助 |
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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。
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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 |
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Affiliation: | 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) |
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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. |
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Keywords: | remote sensing image decision tree classification spectral features texture features |
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