Author:
Shibano Kazuma,Morozova Nadezhda,Ito Yuji,Shimamoto Yuma,Tachibana Yuki,Suematsu Kakutaro,Chiyoda Atsushi,Ito Hisaya,Suzuki Tetsuya
Publisher
Springer Science and Business Media LLC
Reference56 articles.
1. Chang KT, Chang JR, Liu JK (2005) Detection of pavement distresses using 3D laser scanning technology. Comput Civ Eng. https://doi.org/10.1061/40794(179)103
2. Che E, Jung J, Olsen MJ (2019) Object recognition, segmentation, and classification of mobile laser scanning point clouds: a state of the art review. Sensors 19(4):810. https://doi.org/10.3390/s19040810
3. Cloudcompare.org (2022) CloudCompare—Open Source project. https://www.danielgm.net/cc/. Accessed 2 January 2022
4. Cloudcompare.org (2022) Roughness https://www.cloudcompare.org/doc/wiki/index.php/Roughness. Accessed 2 January 2022
5. Costantino D, Angelini MG (2013) Qualitative and quantitative evaluation of the luminance of laser scanner radiation for the classification of materials. In: Proceedings of the ISPRS-International archives of the photogrammetry, remote sensing and spatial information sciences, Strasbourg, pp 2–6. https://doi.org/10.5194/isprsarchives-XL-5-W2-207-2013
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