应用高分二号提取二级类建设用地

Extraction of Construction Land ClassⅡBased on GF-2

为更好地利用国产遥感数据研究土地利用资源分布,基于面向对象和指数分类的方法,开展高分二号遥感影像建设用地二级类提取。实现了研究区居民点、仓储用地、工业用地、公共管理与公共服务用地及交通用地的提取,提取总精度达96.9%,Kappa系数达0.94。结果表明本研究方法可以较准确提取高分二号遥感数据的二级类建设用地,对国产数据地物信息提取的研究有一定借鉴意义。

In order to make better use of domestic remote sensing data to study the distribution of land use resources,based on object-oriented exponential classification method,the 2 level class extraction of construction landwith GF-2 remote sensing imagewas carried out to realize the extraction of residential land,storage land,industrial land,public administration service land and transportation land.The total extraction accuracy was 96.9%and the Kappa coefficient was 0.94,which showed that this method could accurately extract the second class construction land with GF-2 data,and had significantreference for research of constrction land extraction with domestic satellite data.