Classification of Mobile Laser Scanning Point Cloud in an Urban Environment Using kNN and Random Forest-Reference-Cited by-同舟云学术

Classification of Mobile Laser Scanning Point Cloud in an Urban Environment Using kNN and Random Forest

Published:2022 Issue: Volume: Page:963-973
ISSN:2367-3370
Container-title:Innovations in Smart Cities Applications Volume 5
language:
Short-container-title:

Author:

Seyfeli Semanur^ORCID,Ok Ali Ozgun^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-94191-8_78

Reference28 articles.

1. A. Gruen, X. Huang, R. Qin, T. Du, W. Fang, Integration of mobile laser scanning data with UAV imagery for very high resolution 3D city modeling, in Proceedings of Symposium on Mobile Mapping Technology, Tainan, Taiwan (2013)

2. M. Rutzinger, A.K. Pratihast, S. Oude Elberink, G. Vosselman, Detection and modelling of 3D trees from mobile laser scanning data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 38, 520–525 (2010)

3. C. Chen, L. Tang, C.M. Hancock, J. Yan, H.D. Ligt, P. Zhang, 2D-based indoor mobile laser scanning for construction digital mapping application, in FIG Congress 2018, Istanbul, Turkey (2018)

4. H. Wang, Z. Cai, H. Luo, C. Wang, J. Li, Automatic road extraction from mobile laser scanning data, in Proceedings of the 2012 International Conference on Computer Vision in Remote Sensing (CVRS) (2012), pp. 136–139

5. M. Yadav, A.K. Singh, B. Lohani, Extraction of road surface from mobile lidar data of complex road environment. Int. J. Remote Sens. 38(16), 4655–4682 (2017)

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. EXTRACTION OF POINT CLOUD-BASED INFORMATION FOR POWERLINE CORRIDORS;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-02-06