The strip adjustment of mobile LiDAR point clouds using iterative closest point (ICP) algorithm-Reference-Cited by-同舟云学术

The strip adjustment of mobile LiDAR point clouds using iterative closest point (ICP) algorithm

Published:2022-05-19 Issue:11 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Kuçak Ramazan Alper^ORCID,Erol Serdar^ORCID,Erol Bihter^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-022-10303-2.pdf

Reference37 articles.

1. Al-Durgham K, Habib A (2014) Association-matrix-based sample consensus approach for automated registration of terrestrial laser scans using linear features. Photogramm Eng Remote Sens 80:1029–1039. https://doi.org/10.14358/PERS.80.11.1029

2. Applanix (2022) POSPac MMS Software Manuel. The official website of Applanix Trimble Company. https://www.applanix.com/products/pospac-mms.htm. Accessed 2 April 2022

3. Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14(2):239–256. https://doi.org/10.1109/34.121791

4. Boukebbab S, Gheribi H, Linares JM (2016) A procedure for total knee alignment prosthesis using the ICP algorithm in the aim to implant it in the biomechanical engineering. Vibroengineering Procedia 9:44–49

5. Buyuksalih G, Baskaraca P, Bayburt S, Buyuksalih I, Rahman AA (2019) 3D city modelling of Istanbul based on Lidar data and panoramic images–issues and challenges. Int Arch Photogramm XLII-4/W12:51–60. https://doi.org/10.5194/isprs-archives-XLII-4-W12-51-2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image-Aided LiDAR Extraction, Classification, and Characterization of Lane Markings from Mobile Mapping Data;Remote Sensing;2024-05-08