基于高分一号卫星遥感数据提取城市建设用地方法研究

Research on the Method of Extracting Urban Construction Land Based on Gaofen-1 Satellite Remote Sensing Data

摘要: 大城市城市蔓延与收缩现象严重制约区域协调发展。通过遥感方法提取城市建筑物边界进而辅助政府政策决议、协调区域发展刻不容缓。本文选取监督分类、支持向量机分类和植被指数分类，基于高分一号卫星遥感影像提取城市建设用地，通过精度检验探讨适合高分一号遥感影像的建设用地提取方法。结果表明，支持向量机分类对高分一号影像提取建设用地的效果最佳，监督分类的提取效果一般，植被指数分类的提取效果较差。

Abstract: The phenomenon of urban sprawl and contraction in cities seriously restricts the coordinated regional development. It is urgent to extract the boundary of urban buildings by remote sensing method to assist the government in policy decision and coordinate regional development. This paper selects supervision classification, support vector machine classification and vegetation in-dex classification, extracts urban construction land based on gaofen-1 satellite remote sensing image, and discusses the construction land extraction method suitable for gaofen-1 remote sens-ing image through precision test. The results show that support vector machine classification has the best effect on gaofen-1 image extraction, the average effect on supervised classification and the poor effect on vegetation index classification.