工矿自动化2012，Vol.38Issue(12)：46-50,5.
基于SPOT-5多光谱影像的矿区塌塘水体提取方法研究
Research of Water Body Extraction Methods of Mining Area Collapsed Pond Based on SPOT-5 Multispectral Image
摘要
Abstract
For phenomenon of incomplete water extraction and false extraction in existing water extraction method based on remote sensing images, a water extraction method of mining area collapsed pond based on SPOT-5 multispectral images was proposed. On the basis of adding a available band by use of band synthetic, existing water extraction method was improved appropriately, and mining area water body was extracted by decision tree classifier and improved method with four-level extraction, so as to ensure the water body extraction integrity and reduce error rate. Finally, accuracy of the water body extraction was assessed by the extracted data. The test results showed that the water body extraction method based on decision tree classifier has higher accuracy and can meet with demand of practical application in mining area.关键词
矿区塌塘/水体提取/SPOT-5多光谱影像/决策树分类器/精度评价Key words
mine area collapsed pond/water body extraction/SPOT-5 multispectral image/decision tree classifier/accuracy assessment分类
矿业与冶金引用本文复制引用
韩晶,邓喀中,李北城,范洪冬..基于SPOT-5多光谱影像的矿区塌塘水体提取方法研究[J].工矿自动化,2012,38(12):46-50,5.基金项目
国家自然科学基金资助项目(41071273) （41071273）
高等学校博士学科点专项科研基金资助课题(20090095110002) （20090095110002）
中央高校基本科研业务费专项资金资助项目(2010QNA21) （2010QNA21）
矿山空间信息技术国家测绘局重点实验室(河南理工大学,河南省测绘局)开放基金资助项目(KLM200909) （河南理工大学,河南省测绘局）
