Enhancing the quality of geometries of interest (GOIs) extracted from GPS trajectory data using spatio-temporal data aggregation and outlier detection
Crossref DOI link: https://doi.org/10.1007/s12652-016-0426-8
Published Online: 2016-11-07
Published Print: 2018-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mousavi, Seyed Morteza
Harwood, Aaron
Karunasekera, Shanika
Maghrebi, Mojtaba
Funding for this research was provided by:
National ICT Australia
License valid from 2016-11-07