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湖北省保康磷矿区开采面及固体废弃物遥感信息提取方法研究
引用本文:杨强,张志.湖北省保康磷矿区开采面及固体废弃物遥感信息提取方法研究[J].国土资源遥感,2009(2):87-90.
作者姓名:杨强  张志
作者单位:中国地质大学(武汉),武汉,430074
基金项目:中国地质调查局研究项目 
摘    要:统计分析了湖北保康磷矿区有关目标地物(道路、建筑物、坡耕地、植被、水体及阴影等)的SPOT 5影像特征,认为它们具有一定相似性和差异性,依赖单一的遥感分类方法难以实现对矿区开采面及固体废弃物信息的准确提取.采用决策树分类方法,设置一定的分类规则,结合数字高程模型和含矿地层等相关辅助数据,逐一对矿区相关地物进行分类,经分类结果后处理,分类精度达83.4%.

关 键 词:决策树分类  正射纠正  形状指数

THE REMOTE SENSING EXTRACTION METHOD FOR THE MINING AREA AND THE SOLID WASTE IN THE BAOKANG PHOSPHORITE ORE DISTRICT,HUBEI PROVINCE
YANG Qiang,ZHANG Zhi.THE REMOTE SENSING EXTRACTION METHOD FOR THE MINING AREA AND THE SOLID WASTE IN THE BAOKANG PHOSPHORITE ORE DISTRICT,HUBEI PROVINCE[J].Remote Sensing for Land & Resources,2009(2):87-90.
Authors:YANG Qiang  ZHANG Zhi
Institution:China University of Geosciences;Wuhan 430074;China
Abstract:Based on a statistic analysis of spectral characteristics of such objectives as road,building,sloping farmland,vegetation,water and shade on the SPOT 5 remote sensing image in the Baokang phosphorite ore district of Hubei Province,this paper holds that spectral properties of these objectives have certain similarity and difference,and it is difficult to extract the mining area and the solid waste accurately based only on a single classification method.Making use of the decision tree classification and settin...
Keywords:Decision tree classification  Orthophoto rectification  Shape index  
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