Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Buchkapitel |
| DOI | 10.1002/9781118929063.ch5 |
| Titel (primär) | Post‐inversion integration of disparate tomographic models by model structure analyses |
| Titel (sekundär) | Integrated imaging of the earth : theory and applications |
| Autor | Paasche, H. |
| Herausgeber | Moorkamp, M.; Lelièvre, P.G.; Linde, N.; Khan, A. |
| Journal / Serie | Geophysical Monograph |
| Erscheinungsjahr | 2016 |
| Department | MET |
| Band/Volume | 218 |
| Seite von | 69 |
| Seite bis | 91 |
| Sprache | englisch |
| Keywords | artificial neural networks; cluster analyses; crosshole tomography; disparate geophysical models; model structure analyses; numerical integration; post-inversion integration |
| UFZ Querschnittsthemen | RU5; |
| Abstract | Numerical integration of disparate geophysical models achieved by inversion of underlying geophysical datasets allows for improved interpretation of geophysical models. This chapter reviews different approaches for post-inversion integration of multiple geophysical models according to model structure for example, consistant shapes or color/chroma variations reflecting the physical model parameter variability. It provides the mathematical fundamentals of several approaches, ranging from simple edge detection to more advanced techniques, such as artificial neural networks and cluster analyses. The chapter also discusses joint interpretations of disparate geophysical models, illustrating the potential of post-inversion model integration to substantially improve the information extraction from multiple geophysical models. It focuses on quantitative post-inversion model integration by model structure analyses. The chapter presents a synthetic crosshole tomographic study to illustrate the employed post-inversion model integration approaches. Finally, it discusses numerical analysis techniques allowing the classification of samples present in a parameter space. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18162 |
| Paasche, H. (2016): Post‐inversion integration of disparate tomographic models by model structure analyses In: Moorkamp, M., Lelièvre, P.G., Linde, N., Khan, A. (eds.) Integrated imaging of the earth : theory and applications Geophysical Monograph 218 American Geophysical Union (AGU), Washington, DC, p. 69 - 91 |
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