基于SPOT影像的常宁市水口山地区矿产资源分布研究  

Distribution Research of Mineral Resources in Changning Shuikoushan Regional Based on SPOT Images

作　　者：邓美容[1] 雷师[2] 刘兰芳[1] 郑文武[1] 

机构地区：[1]衡阳师范学院资源环境与旅游管理系,湖南衡阳421008 [2]湖南科技大学建筑与城乡规划学院,湖南湘潭411201

出　　处：《衡阳师范学院学报》2013年第3期84-87,共4页Journal of Hengyang Normal University

基　　金：衡阳市科技局项目(2011KS16);衡阳师范学院青年基金项目(10A38)

摘　　要：利用ENVI遥感图像处理软件,选取2009年常宁市SPOT高光谱影像数据,利用矿区在影像上的光谱特征,采用决策树分类方法对常宁市水口山地区的矿产资源分布进行调查和信息提取,并将提取结果与全国第二次土地调查的矿区分布进行对比,同时结合实地调查进行验证。结果表明:基于SPOT影像的决策树分类方法提取的地表矿产分布较现有矿产分布面积广,具有较好的识别能力。The paper selected SPOT hyper-spectral images data of Changning county in 2009, using ENVI remote sensing image pro- cessing software and the spectral characteristics of the mineral area on the image, invested and extracted the distribution of mineral re- sources in Changning county Shuikoushan by using the decision-tree classification method. And then had comparison of the results with the national second land investigation, and field investigation at last. The results show that the method of SPOT image based decision tree classification has wider distribution than the existing mining area, it has good recognition ability.

关 键 词：SPOT影像 矿产资源 决策树分类方法 

分 类 号：TP69[自动化与计算机技术—控制理论与控制工程]