Principal component analysis and K-means analysis of airborne gamma-ray spectrometry surveys-Reference-Cited by-同舟云学术

Principal component analysis and K-means analysis of airborne gamma-ray spectrometry surveys

Published:2018-08-27 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2018
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Author:

de Lima Rafael Pires¹^ORCID,Marfurt Kurt J.²

Affiliation:

1. University of Oklahoma; CPRM - Geological Survey of Brazil

2. University of Oklahoma

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2018-2996506.1

Reference8 articles.

1. Semiautomated geologic mapping using self-organizing maps and airborne geophysics in the Brazilian Amazon

2. Multiple influences on regolith characteristics from continental-scale geophysical and mineralogical remote sensing data using Self-Organizing Maps

3. Principal component spectral analysis

4. Data- and knowledge-driven mineral prospectivity maps for Canada's North

5. Nicolet, J. P., G. Erdi-Krausz, and IAEA, 2003, Guidelines for radioelement mapping using gamma ray spectrometry data: International Atomic Energy Agency, 179 p.

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