NDLI: Exploiting a Semi-Automatic Point Cloud Segmentation Method to Improve the Quality of Rock-Mass Characterization. The Cima Grappa Conservative Restoration Case Study

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Exploiting a Semi-Automatic Point Cloud Segmentation Method to Improve the Quality of Rock-Mass Characterization. The Cima Grappa Conservative Restoration Case Study

Content Provider	MDPI
Author	Mugnai, Francesco Farina, Paolo Tucci, Grazia
Copyright Year	2021
Description	This paper presents results from applying semi-automatic point cloud segmentation methods in the underground tunnels within the Military Shrine’s conservative restoration project in Cima Grappa (Italy). The studied area, which has a predominant underground development distributed in a network of tunnels, is characterized by diffuse rock collapsing. In such a context, carrying out surveys and other technical operations are dangerous activities. Considering safety restrictions and unreachable impervious tunnels, having approached the study area with the scan-line survey technique resulted in only partial rock mass characterization. Hence, the geo-mechanical dataset was integrated, applying a semi-automatic segmentation method to the point clouds acquired through terrestrial laser scanning (TLS). The combined approach allowed for remote performance of detailed rock mass characterization, even remotely, in a short time and with a limited operators presence on site. Moreover, it permitted extending assessing tunnels’ stability and state of conservation to the inaccessible areas.
Starting Page	276
e-ISSN	22209964
DOI	10.3390/ijgi10050276
Journal	ISPRS International Journal of Geo-Information
Issue Number	5
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-04-28
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Remote Sensing Laser Scanning Conservative Restoration, Geometrical Reconstruction Point Clouds Segmentation
Content Type	Text
Resource Type	Article

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