Automatic frequencies selection for RGB representation of the spectral decomposition results
https://doi.org/10.51890/2587-7399-2024-9-1-32-39
Abstract
Introduction. The spectral decomposition technique and the associated RGB visualization algorithm are widely used in many projects for mapping geological objects.
Goal. The aim of the research is to create and test a new technology for automatic frequency selection for RGB blending of spectral decomposition results, as well as to develop a methodology for estimation the quality of the result.
Materials and methods. To test the proposed approach, real data from one of the deposits in Western Siberia were used. The algorithm development and performed using the Python programming language.
Results. As a result of the conducted research, a new approach to the selection of frequencies for the implementation of spectral decomposition and subsequent RGB visualization is proposed. The Shannon entropy estimation is proposed as a tool for estimation of the obtained result.
Conclusion. The developed algorithm has shown its effectiveness on real examples; the resulting color mixing maps are more informative compared to empirical selection.
About the Author
A. V. Butorin
Gazprom neft company group
Russian Federation
Russian Federation
Aleksandr V. Butorin — Сand. Sci. (Geol.-Min.), Associate Professor at the Department of Geophysics at Institute of Earth Sciences, Head of seismic discipline
AuthorID: 877389 Web of Science: B-7405-2019 Scopus: 56370048400
3–5, Pochtamtskaya str., 190000, Saint Petersburg
References
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Review
For citations:
Butorin A.V. Automatic frequencies selection for RGB representation of the spectral decomposition results. PROneft. Professionally about Oil. 2024;9(1):32-39. (In Russ.) https://doi.org/10.51890/2587-7399-2024-9-1-32-39
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