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
杨强, 张志
中国地质大学（武汉）, 武汉430074
THE REMOTE SENSING EXTRACTION METHOD FOR
YANG Qiang, ZHANG Zhi
China University of Geosciences, Wuhan 430074, China
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 ：
土地监测 ,
遥感 ,
图像数据库 ,
管理信息系统
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 setting up some classification rules in
combination with the related auxiliary data from the digital elevation model and the ore-bearing strata, the authors
successfully classified the objects in the ore district into various categories. Subsequent processing of the
classification results shows that the classification precision can reach 83.4%.
Key words ：
Land monitoring
Remote sensing
Image database
Management information system
收稿日期: 2008-07-28
出版日期: 2009-06-12
基金资助: 中国地质调查局“重点成矿带及矿集区矿产资源开发多目标遥感调查与监测”项目（1212010611208）。
通讯作者:
杨强（1982- ），男，在读硕士研究生，主要研究方向为遥感技术与应用。
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2009, Vol. 21 
