Abstract
Integration and update of geospatial data are key issues in geographic information science. Map conflation can be used to eliminate inconsistency and merges multiple sources of datasets. Feature matching is the key technique in conflation process. Regarding areal features as whole entities, this research proposes a matching method considering relations among geometric positions and shape factors. A case study of Beijing, based on two cadastral maps at different times, demonstrates that the proposed method is effective to identify similarities and changes in cadastral maps and is feasible in cadastral map conflation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
