A Machine Learning Approach to Extract Rock Mass Discontinuity Orientation and Spacing, from Laser Scanner Point Clouds

A Machine Learning Approach to Extract Rock Mass Discontinuity Orientation and Spacing, from Laser Scanner Point Clouds

This study wants to give a contribution to the semi-automatic evaluation of rock mass discontinuities, orientation and spacing, as important parameters used in Engineering. In complex and inaccessible study areas, a traditional geological survey is hard to conduct, therefore, remote sensing techniqu...

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Bibliographic Details
Main Authors: Elisa Mammoliti, Francesco Di Stefano, Davide Fronzi, Adriano Mancini, Eva Savina Malinverni, Alberto Tazioli
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
rock mass characterization
discontinuity analysis
discontinuity spacing
discontinuity orientation
point cloud
Terrestrial Laser Scanner
Online Access:https://www.mdpi.com/2072-4292/14/10/2365

Internet

https://www.mdpi.com/2072-4292/14/10/2365

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