TIAN Wenwen, ZHU Xinyan, GUO wei. A VGI Vector Road Data Increment Distinguishing ResearchBased on Multilevel Spreading Algorithm[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 963-967. DOI: 10.13203/j.whugis20130092
Citation: TIAN Wenwen, ZHU Xinyan, GUO wei. A VGI Vector Road Data Increment Distinguishing ResearchBased on Multilevel Spreading Algorithm[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 963-967. DOI: 10.13203/j.whugis20130092

A VGI Vector Road Data Increment Distinguishing ResearchBased on Multilevel Spreading Algorithm

  • Objective Volunteered geographic information(VGI)contributed by Internet users is more and morewidely used as data updating source for industries such as navigation,and for disaster emergencies.This way of data acquisition is faster and cheaper than traditional surveying and mapping data.Howto detect and extract changed information in massive amounts of VGI data in a timely way is a problemto be solved.The high precision results of vector feature matching can help to find the changed fea-tures faster.VGI vector data has rich geometric and semantic information,traditional vector featurematching algorithm is not suitable for this purpose.In this paper,we proposed a multilevel spreadingalgorithm in vector feature matching,and applied the city road network as the research content,tocompare VGI vector data to the data from the professional surveying and mapping departments to real-ize the change detection in a road network.
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