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Application of open‐source photogrammetric software MicMac for monitoring surface deformation in laboratory models
Author(s) -
Galland Olivier,
Bertelsen Håvard S.,
Guldstrand Frank,
Girod Luc,
Johannessen Rikke F.,
Bjugger Fanny,
Burchardt Steffi,
Mair Karen
Publication year - 2016
Publication title -
journal of geophysical research: solid earth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.983
H-Index - 232
eISSN - 2169-9356
pISSN - 2169-9313
DOI - 10.1002/2015jb012564
Subject(s) - orthophoto , photogrammetry , digital elevation model , software , geology , displacement (psychology) , remote sensing , deformation monitoring , computer science , deformation (meteorology) , computer vision , computer graphics (images) , psychology , oceanography , psychotherapist , programming language
Quantifying deformation is essential in modern laboratory models of geological systems. This paper presents a new laboratory monitoring method through the implementation of the open‐source software MicMac, which efficiently implements photogrammetry in Structure‐from‐Motion algorithms. Critical evaluation is provided using results from two example laboratory geodesy scenarios: magma emplacement and strike‐slip faulting. MicMac automatically processes images from synchronized cameras to compute time series of digital elevation models (DEMs) and orthorectified images of model surfaces. MicMac also implements digital image correlation to produce high‐resolution displacements maps. The resolution of DEMs and displacement maps corresponds to the pixel size of the processed images. Using 24 MP cameras, the precision of DEMs and displacements is ~0.05 mm on a 40 × 40 cm surface. Processing displacement maps with Matlab® scripts allows automatic fracture mapping on the monitored surfaces. MicMac also offers the possibility to integrate 3‐D models of excavated structures with the corresponding surface deformation data. The high resolution and high precision of MicMac results and the ability to generate virtual 3‐D models of complex structures make it a very promising tool for quantitative monitoring in laboratory models of geological systems.