Corradetti, Amerigo (2016) 3D structural characterization of outcrops by means of close-range multi-view stereo-photogrammetry. [Tesi di dottorato]
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Tipologia del documento: | Tesi di dottorato |
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Lingua: | English |
Titolo: | 3D structural characterization of outcrops by means of close-range multi-view stereo-photogrammetry |
Autori: | Autore Email Corradetti, Amerigo amergeo@gmail.com |
Data: | 7 Marzo 2016 |
Numero di pagine: | 121 |
Istituzione: | Università degli Studi di Napoli Federico II |
Dipartimento: | 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: | nome email Boni, Maria maria.boni@unina.it |
Tutor: | nome email Tavani, Stefano [non definito] |
Data: | 7 Marzo 2016 |
Numero di pagine: | 121 |
Parole chiave: | Structural geology; Virtual outcrop; Photogrammetry |
Settori scientifico-disciplinari del MIUR: | Area 04 - Scienze della terra > GEO/03 - Geologia strutturale |
Depositato il: | 08 Apr 2016 12:00 |
Ultima modifica: | 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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