Persistent Link:
http://hdl.handle.net/10150/186085
Title:
Information extraction and integration in mineral exploration.
Author:
El-Fouly, Adel Ahmed Mahmoud.
Issue Date:
1992
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Geologic information extraction and integration are the main goals of this study. Tools are designed to aid in exploration for common mineral deposits by intelligently and efficiently processing spatial geological data. Gabor filters, comprising Gaussian-attenuated sinusoidal weight vectors, are used for textural discrimination. A highly non-linear logic operator was designed for "valley", "ridge", edge, and intersection extraction from multispectral images to cover most of the possible local lineament types. A zonation detector (a non-linear logic operator) indicates the presence or absence of lithologic zonation, the number and the types of zones using a series of automatically expanding moving windows. The ultimate window size represents the zonation size. Two different types of raster-based expert systems help optimize pixel-by-pixel knowledge extraction and representation over the spatial information and throughout the different raster feature layers. First a 2-D expert system is used for classification, ranking, recognition and searching for important pattern associations in the feature space. Second, a multilayer adaptive raster-based expert system allows the processing of multiple geologic features, and operates over each pattern in the feature layers. The fuzzy integral method of evidence fusion is used to integrate information from a variety of mineral exploration sources. This nonlinearly combines objective mineral occurrence evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect to the decision. An application of these methods to the Tombstone mineral district in southern Arizona demonstrates its ability to pick out circular features from TM imagery, Gabor transforms and lineament patterns, as well as identify favorable zonation for new mineral occurrence. The final product at this time is a probability map to guide the exploration geologist.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Dissertations, Academic.; Geology.; Mining engineering.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Mining and Geological Engineering; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Glass, Charles E.; Poulton, Mary M.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleInformation extraction and integration in mineral exploration.en_US
dc.creatorEl-Fouly, Adel Ahmed Mahmoud.en_US
dc.contributor.authorEl-Fouly, Adel Ahmed Mahmoud.en_US
dc.date.issued1992en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractGeologic information extraction and integration are the main goals of this study. Tools are designed to aid in exploration for common mineral deposits by intelligently and efficiently processing spatial geological data. Gabor filters, comprising Gaussian-attenuated sinusoidal weight vectors, are used for textural discrimination. A highly non-linear logic operator was designed for "valley", "ridge", edge, and intersection extraction from multispectral images to cover most of the possible local lineament types. A zonation detector (a non-linear logic operator) indicates the presence or absence of lithologic zonation, the number and the types of zones using a series of automatically expanding moving windows. The ultimate window size represents the zonation size. Two different types of raster-based expert systems help optimize pixel-by-pixel knowledge extraction and representation over the spatial information and throughout the different raster feature layers. First a 2-D expert system is used for classification, ranking, recognition and searching for important pattern associations in the feature space. Second, a multilayer adaptive raster-based expert system allows the processing of multiple geologic features, and operates over each pattern in the feature layers. The fuzzy integral method of evidence fusion is used to integrate information from a variety of mineral exploration sources. This nonlinearly combines objective mineral occurrence evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect to the decision. An application of these methods to the Tombstone mineral district in southern Arizona demonstrates its ability to pick out circular features from TM imagery, Gabor transforms and lineament patterns, as well as identify favorable zonation for new mineral occurrence. The final product at this time is a probability map to guide the exploration geologist.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectDissertations, Academic.en_US
dc.subjectGeology.en_US
dc.subjectMining engineering.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineMining and Geological Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairGlass, Charles E.en_US
dc.contributor.chairPoulton, Mary M.en_US
dc.contributor.committeememberPeters, William C.en_US
dc.contributor.committeememberGuilbert, John M.en_US
dc.contributor.committeememberTitley, Spencer R.en_US
dc.identifier.proquest9310594en_US
dc.identifier.oclc714171995en_US
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