基于多源信息的大冶铁矿塌陷监测方法研究  

Study on Daye Iron Mine collapse monitoring based on multi-source

作　　者：邱丹丹[1] 李先福[1] 

机构地区：[1]武汉工程大学环境与城市建设学院,湖北武汉430074

出　　处：《武汉工程大学学报》2011年第4期39-41,45,共4页Journal of Wuhan Institute of Technology

基　　金：武汉工程大学青年科学基金(Q201005);国家自然科学基金资助项目(50874080);湖北省自然科学基金重点项目(2009CDA002)资助

摘　　要：随着大冶铁矿地下开采工作的进展,在铁矿采区及周边出现多处塌陷,对生产生活造成威胁.为此,利用多源信息(包括多时相遥感影像、地形图、地下采矿分布图等)对大冶铁矿塌陷进行监测,采用动态监测方法和模糊积分的多分类器组合技术提取塌陷范围,为下一步治理提供依据.In recent years,much collapse occurred around iron mining and neighborship along with the the progress of underground mine work which become threat to work and life.Thevefore,the collapse of Daye mine was monitored by using multi-soure information（include multi-temporal RS data,topographic map,underground mining distribution map and so on）,and the range of collapse was extracted by applying dynamic monitoring and fuzzy Integral based on multi-classifier,which provides the basis of governance in the next step.

关 键 词：塌陷 监测 多源 多时相 大冶铁矿 

分 类 号：P237[天文地球—摄影测量与遥感]