首页 | 本学科首页   官方微博 | 高级检索  
     检索      

徐州九里矿区水土污染高光谱影像识别可行性研究
引用本文:许吉仁,曾楷,简煊祥,张赟.徐州九里矿区水土污染高光谱影像识别可行性研究[J].安徽农业科学,2011,39(21):13125-13126,13131.
作者姓名:许吉仁  曾楷  简煊祥  张赟
作者单位:中国矿业大学环境与测绘学院,江苏徐州,221008
摘    要:采用传统的水、土监测方法,明确徐州九里矿区被测区域的污染情况,为高光谱影像识别被测区域污染情况提供基础数据。利用高光谱遥感技术,结合传统的污染识别方法获得的数据,解决矿区水土中的污染识别和监测问题。

关 键 词:九里矿区  高光谱  污染识别  环境监测

Study on the Feasibility of Hyperspectral Image Recognition in Water and Soil Pollution of Jiuli Coal Mine Area in Xuzhou
Institution:XU Ji-ren et al(School of Environment Science & Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu 221008)
Abstract:Traditional soil and water monitoring method is used to find out the pollution condition of the area which is measured in Jiuli Coal Mine Area and provide essential data for the recognition of the area's pollution condition with Hyperspectral Image.The problem in pollution recognition and monitoring can also be solved by using hyperspectral-remote-sensing technology combined with the date from traditional pollution recognition methods.
Keywords:Jiuli Coal Mine Area  Hyperspectral  Pollution recognition  Environmental monitoring
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号