Automated Processes for Preparing a Point Cloud Within the Scan-To-BIM Methodology
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51623-8_5
Reference29 articles.
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3. Brodu N, Lague D (2012) 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology. ISPRS J Photogramm Remote Sens 68(1):121–134. https://doi.org/10.1016/j.isprsjprs.2012.01.006
4. Cheng D et al (2021) PCA-based denoising algorithm for outdoor lidar point cloud data. Sensors 21:11. https://doi.org/10.3390/s21113703
5. Croce V et al (2023) H-BIM and artificial intelligence: classification of architectural heritage for semi-automatic scan-to-BIM reconstruction. Sensors 23:5. https://doi.org/10.3390/s23052497
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