A Density-Based Clustering Method for the Segmentation of Individual Buildings from Filtered Airborne LiDAR Point Clouds
Crossref DOI link: https://doi.org/10.1007/s12524-018-0911-y
Published Online: 2018-11-29
Published Print: 2019-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Huang, Xiaoping
Cao, Rujun http://orcid.org/0000-0002-1333-8743
Cao, Yanyan
Text and Data Mining valid from 2018-11-29
Article History
Received: 4 May 2018
Accepted: 9 November 2018
First Online: 29 November 2018
Compliance with ethical standards
:
: No potential conflict of interest was reported by the authors.