摘要
随着遥感的发展,遥感数据逐渐成为地理信息系统重要的数据源。而栅格数据不能满足GIS中进行空间分析的要求,因此栅格数据的矢量化在GIS和RS集成中具有十分重要的意义。在总结前人算法的基础上,提出了改进的栅格数据矢量化方法。根据4个相邻栅格像元的异同关系来提取拐点和交点。并且根据提取点的类型自动建立连接关系,进而自动生成弧段和多边形,实现栅格数据快速有效地的矢量化。
With the development of remote sensing, remote sensing data gradually becomes the important data pool of geographic information system. The raster data cannot satisfy the requirements of spatial analysis in GIS, therefore data conversion between raster and vector has a vital significance in the integration of GIS and RS. This article summarizes the predecessor algorithm and proposes improved raster data vector method. According to similarities and differences relation of 4 neighboring pixels, withdraw inflexion and point of intersection. And establish connection automatically according to the type of with- drawed point, then automatically build arc and polygon to realize the vectorization of raster data faster and more efficiently.
出处
《西安科技大学学报》
CAS
北大核心
2008年第1期86-90,共5页
Journal of Xi’an University of Science and Technology
基金
“十一五”国家863地球观测与导航技术领域资助项目(2006011271018)
上海市科委重点攻关项目(055115018)
作者简介
景奉广（1983-），男，山东章丘人，在读硕士，主要从事遥感图像处理与地理信息系统应用的研究．
