分类后栅格数据特点分析及其矢量化算法

本文分析了遥感分类后栅格数据的特点,设计了一种改进的遥感分类后栅格数据矢量化方法,采用Visual C++编程实现,用实际数据进行了实验验证,并对比已有方法分析了矢量化结果的时间效率。分析结果表明:采用本文方法能完成大型分类后图像的矢量化,在计算机内存中处理矢量化栅格图的复杂度和速度得到提高,具有一定实用价值。

Characteristics of classified raster data and its vector algorithm

RS data has increasingly become the most important data of GIS.However,RS data are generally raster data,thus it can not be directly used in GIS for spatial analysis,and usually be classified and vectorized for the application of GIS.The author analyzed the characteristics of RS classified raster data and designed an improved method to vectorize RS classified data.The algorithm was developed using VC++.The experiment was performed using real data to analyze the results of the vectorization time efficiency by the comparison between the method in this paper and an existed one.It can be concluded that the method could efficiently and practically process large image.By using this approach,the computer's ability and speed of handling large scale and complex raster would be promoted.