196
Views
4
CrossRef citations to date
0
Altmetric
Articles

A breakline-preserving ground interpolation method for MLS data

, ORCID Icon &
Pages 1201-1210 | Received 09 Apr 2019, Accepted 24 Aug 2019, Published online: 28 Sep 2019
 

ABSTRACT

Modelling accurate ground surfaces in urban areas is important for surveying and mapping. Breaklines along roads are critical for both digital elevation models and high precision maps. This article presents a new breakline-preserving ground interpolation method for point clouds acquired by mobile laser scanning (MLS). The proposed method needs only point coordinates as input. It first initializes unknown regions by the nearest neighbouring interpolation then matched patches in known regions are found along edges. Next, Poisson interpolation is utilized to improve the elevation accuracy. An edge-guided patch regularization method is applied before patch blending to remove noise and improve gradient accuracy. The proposed method was tested on two datasets acquired by different MLS systems. This paper quantitatively evaluates the proposed method as well as the existing solution in two samples of complete points. These results demonstrate that the proposed method outperforms the existing method in terms of visual coherence and mean absolute differences. Moreover, the edge information which is self-contained in point clouds has been proven useful in ground interpolation.

Additional information

Funding

The first author is supported by the China Scholarship Council and the University of Calgary. This work is partially supported by Natural Sciences and Engineering Research Council (NSERC).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 83.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.