{"title":"Improved Road Network Reconstruction using Discrete Morse Theory","authors":"T. Dey, Jiayuan Wang, Yusu Wang","doi":"10.1145/3139958.3140031","DOIUrl":null,"url":null,"abstract":"With the rapid growth of publicly available GPS traces, robust and efficient automatic road network reconstruction has become a crucial task in GIS data analysis and applications. In [20], an effective and robust road network reconstruction algorithm was developed based on the discrete Morse theory, which has the state-of-the-art performance in automatic road-network reconstruction. Based on a discrete Morse-based graph reconstruction framework, we provide two improvements of the previous algorithm [20]: (1) we further simplify it and obtain a better empirical time performance; and (2) we develop a simple but effective editing strategy that helps adding missing road segments in the output reconstruction.","PeriodicalId":270649,"journal":{"name":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"1 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3139958.3140031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
With the rapid growth of publicly available GPS traces, robust and efficient automatic road network reconstruction has become a crucial task in GIS data analysis and applications. In [20], an effective and robust road network reconstruction algorithm was developed based on the discrete Morse theory, which has the state-of-the-art performance in automatic road-network reconstruction. Based on a discrete Morse-based graph reconstruction framework, we provide two improvements of the previous algorithm [20]: (1) we further simplify it and obtain a better empirical time performance; and (2) we develop a simple but effective editing strategy that helps adding missing road segments in the output reconstruction.