Jing Yu, Gang Chen, Xiao Zhang, Wenlong Chen, Yingxia Pu
{"title":"An improved Douglas-Peucker algorithm aimed at simplifying natural shoreline into direction-line","authors":"Jing Yu, Gang Chen, Xiao Zhang, Wenlong Chen, Yingxia Pu","doi":"10.1109/Geoinformatics.2013.6626177","DOIUrl":null,"url":null,"abstract":"The simplifying natural shoreline of vector data into direction-line is the basis of delineation of baselines of the territorial sea. Using classical algorithms of vector data compression, such as the Douglas-Peucker algorithm, to simplify the natural shoreline into direction-line, ignores the special requirements of a guarantee of national marine interests. To solve this problem, this paper proposed an improved Douglas-Peucker algorithm. Firstly choose the convex points of the natural shoreline as an alternative set of points; then filter segment points from convex points based on angle and distance; finally, divide the data into several parts in order to perform the Douglas-Peucker algorithm, and control the threshold of every part to effectively select feature points and protect national maritime interests. This paper uses ArcGIS 10.0, Visual Studio platform, and C# language to carry out the algorithm design, and choose a local coastline of Jiangsu province to conduct experiment. The results show that, compared with the Douglas-Peucker algorithm, the improved Douglas-Peucker algorithm improves the area ratio by 0.19%(0.17%-0.20%), and compression rate of coordinate points by 13.22% (9.48%-16.95%), and the accuracy of curve simplification also improved.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 21st International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2013.6626177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The simplifying natural shoreline of vector data into direction-line is the basis of delineation of baselines of the territorial sea. Using classical algorithms of vector data compression, such as the Douglas-Peucker algorithm, to simplify the natural shoreline into direction-line, ignores the special requirements of a guarantee of national marine interests. To solve this problem, this paper proposed an improved Douglas-Peucker algorithm. Firstly choose the convex points of the natural shoreline as an alternative set of points; then filter segment points from convex points based on angle and distance; finally, divide the data into several parts in order to perform the Douglas-Peucker algorithm, and control the threshold of every part to effectively select feature points and protect national maritime interests. This paper uses ArcGIS 10.0, Visual Studio platform, and C# language to carry out the algorithm design, and choose a local coastline of Jiangsu province to conduct experiment. The results show that, compared with the Douglas-Peucker algorithm, the improved Douglas-Peucker algorithm improves the area ratio by 0.19%(0.17%-0.20%), and compression rate of coordinate points by 13.22% (9.48%-16.95%), and the accuracy of curve simplification also improved.