Corradetti, Amerigo (2016) 3D structural characterization of outcrops by means of close-range multi-view stereo-photogrammetry. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: 3D structural characterization of outcrops by means of close-range multi-view stereo-photogrammetry
Creators:
CreatorsEmail
Corradetti, Amerigoamergeo@gmail.com
Date: 7 March 2016
Number of Pages: 121
Institution: Università degli Studi di Napoli Federico II
Department: Scienze della Terra, dell'Ambiente e delle Risorse
Scuola di dottorato: Scienze della terra
Dottorato: Scienze della Terra
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
nomeemail
Boni, Mariamaria.boni@unina.it
Tutor:
nomeemail
Tavani, StefanoUNSPECIFIED
Date: 7 March 2016
Number of Pages: 121
Uncontrolled Keywords: Structural geology; Virtual outcrop; Photogrammetry
Settori scientifico-disciplinari del MIUR: Area 04 - Scienze della terra > GEO/03 - Geologia strutturale
Date Deposited: 08 Apr 2016 12:00
Last Modified: 02 Nov 2016 12:56
URI: http://www.fedoa.unina.it/id/eprint/10683

Abstract

Image-based 3D modelling is increasingly used as a fast and cheap alternative to laser-scanning for the 3D digital representation of geological outcrops. This rapidly improving technique is progressively opening the way to the widespread use of virtual outcrop models in geology, as the technique allows nearly everybody to construct a detailed digital model of geological exposures simply using a few handy and cheap devices. In this dissertation, the photogrammetry method has been used to demonstrate and evaluate the potential of virtual outcrops in structural geology. In particular, through the analysis of different outcrops at different scales, I showed that virtual outcrop models enable a switch from a mere descriptive/qualitative analysis of the outcrops to a quantitative one. In fact, by mean of virtual reality it is possible to overcome almost all technical limitations that are generally encountered during field work at different scales including prospective distortion, inaccessibility and the lack of instruments for quantitative acquisition of data, among others.

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