Using self-organizing maps in airborne geophysical data for mapping mafic dyke swarms in NE Brazil

A self-organizing map (SOM) approach has been used to provide an integrated spatial analysis and classification of airborne geophysical data collected over the Brazilian Amazon. Magnetic and gamma ray spectrometric data were used to extract geophysical signatures related to the spatial distribution of rock types and to produce a geologic map over the prospective Anapu-Tuerê region. Particular emphasis was given to discriminating and identifying rock types, and the processes related to gold mineralization, which are known to occur in the Anapu-Tuerê region. SOM was able to identify and map distinctive geophysical signatures related to the various geologic units identified on the published geologic map. Furthermore, SOM was able to identify and enhance very subtle signatures derived jointly from the magnetic and gamma ray spectrometric data that could be related to geologic processes present in the area. These results demonstrate the effectiveness of using SOM as a tool for geophysical data analysis and for semiautomated mapping in regions such as the Amazon.

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Use of Kohonen's self-organizing map to combine images of airborne geophysical data and to classify lithological units

54th EAEG Meeting ◽

10.3997/2214-4609.201410570 ◽

1992 ◽

Author(s):

I. Suppala ◽

P. Virransalo

Keyword(s):

Geophysical Data ◽

Self Organizing Map ◽

Airborne Geophysical Data ◽

Self Organizing

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Self-organizing maps for geoscientific data analysis: geological interpretation of multidimensional geophysical data

Computational Geosciences ◽

10.1007/s10596-006-9022-x ◽

2006 ◽

Vol 10 (3) ◽

pp. 265-277 ◽

Cited By ~ 38

Author(s):

Christian D. Klose

Keyword(s):

Data Analysis ◽

Geophysical Data ◽

Self Organizing Maps ◽

Geological Interpretation ◽

Geoscientific Data ◽

Self Organizing

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NEURAL NETWORK CLUSTER ANALYSIS OF AREAL GEOPHYSICAL DATA OF THE KHIBINY-LOVOZERO VOLCANO-PLUTONIC ORE-BEARING COMPLEX (KOLA PENINSULA) BY SELF-ORGANIZING MAPS OF KOHONEN METHOD

Геофизические исследования ◽

10.21455/gr2021.1-2 ◽

2021 ◽

Vol 22 (1) ◽

pp. 25-39

Keyword(s):

Neural Network ◽

Cluster Analysis ◽

Kola Peninsula ◽

Geophysical Data ◽

Self Organizing Maps ◽

Network Cluster ◽

Self Organizing

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A Recommendation Model that Combines Self-Organizing Maps and Case-Based Reasoning: A Case of Online Community Recommender Systems

The e-Business Studies ◽

10.15719/geba.9.1.200803.309 ◽

2008 ◽

Vol 9 (1) ◽

pp. 309-327 ◽

Cited By ~ 1

Author(s):

Hyoung-yong Lee

Keyword(s):

Recommender Systems ◽

Online Community ◽

Case Based Reasoning ◽

Self Organizing Maps ◽

Case Based ◽

Self Organizing

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Aeromagnetic survey in southern West Greenland: project Aeromag 1999

Geological Survey of Denmark and Greenland Bulletin ◽

10.34194/ggub.v186.5218 ◽

2000 ◽

pp. 73-77 ◽

Cited By ~ 1

Author(s):

Thorkild M. Rasmussen ◽

Jeroen A.M. Van Gool

Keyword(s):

European Union ◽

Measured Data ◽

Geophysical Data ◽

Geological Survey ◽

Aeromagnetic Survey ◽

Original Series ◽

West Greenland ◽

The Government ◽

Airborne Geophysical Data ◽

Surface Geology

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Rasmussen, T. M., & van Gool, J. A. (2000). Aeromagnetic survey in southern West Greenland: project Aeromag 1999. Geology of Greenland Survey Bulletin, 186, 73-77. https://doi.org/10.34194/ggub.v186.5218 _______________ The acquisition of public airborne geophysical data from Greenland that commenced in 1992 continued in 1999 with project Aeromag 1999, an aeromagnetic survey of part of southern West Greenland. This paper presents results of the aeromagnetic survey and discusses the correlation of the measured data with the previously mapped surface geology. The project was financed by the Government of Greenland and managed by the Geological Survey of Denmark and Greenland. Sander Geophysics Ltd., Ottawa, Canada, was selected in April 1999 as the contractor for the project through a European Union opentender procedure.

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