【作者】 胡娟； 安裕伦； 周旭；

【Author】 Hu Juan~1 An Yulun~1 Zhou Xu~2 (1.School of Geography and Biology Sciences,Guizhou Normal University,Guiyang,Guizhou,550001.China 2.Land and Resources College,China West Normal University,Nanchong,Sichuan,637002,China)

【机构】 贵州师范大学地理与生物科学学院； 西华师范大学国土资源学院；

【摘要】 以3S技术为背景,以遥感数字图像处理技术为主要技术支持,以中巴地球资源卫星CBERS和美国Landsat-7 TM影像为遥感数据源,探索CBERS影像数据在喀斯特山区的土地利用遥感解译中最理想的图像处理方法及分类方法,对比研究CBERS和TM在喀斯特地区土地利用分类实验中的各自优势。通过多次遥感图像处理技术实验与分析,摸索出了利用数学建模解决CBERS在喀斯特山区水体与阴影的混分问题以及建设用地与旱地、水田的混分问题的新方法,并基于最佳指数波段选择法推算出了431波段为喀斯特地区土地利用分类的最佳波段组合。实验证明,中巴地球资源卫星影像较好地实现了喀斯特地区大比例尺土地的利用、分类,完全可以替代国外遥感影像TM而运用于喀斯特山区土地利用调查中。更多还原

【Abstract】 With 3S(GIS,GPS and RS) techniques as the background and remote sensing digital image management technique as the support,CBERS -01 and Landsat -7 TM as the data,this paper explores the best image management methods and classification interpretation methods for land use in karst areas,and compares CBERS with TM to demonstrate their predominance in the classification experiment of land use in karst areas.The Author finds a new method of mathematics modeling to solve the problem of confusing water and shadow,building lands,dry lands,and paddy fields in karst areas.It also works out that 431 is the best band combination based on the method of prime index.It proves that CBERS can preferably realize land use classification in karst areas on a large scale.It can substitute the remote sensing digital image TM abroad to be applied to the land use investigation in karst areas.更多还原