矿山扩展遥感信息自动提取方法研究——以攀枝花钒钛磁铁矿为例  

An automatic extraction method of mining area expanding remote sensing image-A study on Panzhihua vanadium titanium magnetite ore

作　　者：漆小英[1] 杨武年[1] 邵怀勇[1] 晏明星[1] 

机构地区：[1]成都理工大学国土资源信息技术与应用国土资源部重点实验室/遥感与GIS研究所,成都610059

出　　处：《测绘科学》2008年第3期76-78,共3页Science of Surveying and Mapping

基　　金：国家科技攻关计划西部专项(2005BA901A03)

摘　　要：以攀枝花钒钛磁铁矿为例,在遥感和地理信息系统技术的支持下,采用监督分类和土壤调节大气耐抗植被指数差值模型相结合的方法提取攀枝花钒钛磁铁矿区矿山扩展信息,并将其结果与2005年有经验的遥感专家在攀枝花矿山生态环境监控预警技术开发与示范遥感专题中进行人工解译分类得出来的结果进行比较,准确率达到95.3%,结果表明,该方法与传统人工解译方法相比具有方便快捷客观有效的特点。Taking the Panzhihua vanadium titanium magnetite ore as an example, and supported by remote sensing and GIS technique, the mining area expanding information of Panzhihua vanadium titanium magnetite ore through the combination of the Supervised Classification method and SARVI difference model is extracted. In contrast with the manual interpretation classification result of seasoned expert in 2005, the precision can reach up to 95.3% , the results show that it is a convenient, efficient and applicable automatic extraction method.

关 键 词：植被指数 地理信息系统 遥感 监督分类 矿山扩展 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]