Parallel algorithm designed for polygon vectorization

Jinbiao Wei, Manchun Li, Yafei Wang, Chong Chen, Wuyang Hong, Zhenjie Chen
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引用次数: 4

Abstract

Raster and vector are two major types of data format in GIS, we often need to make a conversion of raster data to vector considering the advantages of vector. In this paper we first discuss the classic algorithms of vectorization and the technology of high performance computing, by applying the parallel strategy to vectorization algorithm, we present a specific parallel algorithm for polygon vectorization base on MPI interface and also the open source library GDAL, Then we give the parallel result which is evaluated by parallel speed up and the analysis of this program. From the result, we can see the parallel program dramatically improve the vectorization efficiency comparing with a single processor. And finally present the problems still exist in the algorithm. We implement this algorithm using C++ and MPI.
多边形矢量化并行算法设计
栅格和矢量是GIS中两种主要的数据格式,考虑到矢量的优势,我们经常需要将栅格数据转换为矢量数据。本文首先讨论了矢量化的经典算法和高性能计算技术,将并行策略应用到矢量化算法中,提出了一种基于MPI接口和开源库GDAL的多边形矢量化的具体并行算法,并通过并行加速和程序分析给出了并行结果。从结果可以看出,与单处理器相比,并行程序显著提高了向量化效率。最后提出了算法中存在的问题。我们使用c++和MPI实现了该算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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