Texture-based automated lithological classification using aeromagnetic anomaly images
Open-File Report
2009-1206
By: Vivek Shankar
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Abstract
This report consists of a thesis submitted to the faculty of the Department of Electrical and Computer Engineering, in partial fulfillment of the requirements for the degree of Master of Science, Graduate College, The University of Arizona, 2004
Aeromagnetic anomaly images are geophysical prospecting tools frequently used in the exploration of metalliferous minerals and hydrocarbons. The amplitude and texture content of these images provide a wealth of information to geophysicists who attempt to delineate the nature of the Earth's upper crust. These images prove to be extremely useful in remote areas and locations where the minerals of interest are concealed by basin fill. Typically, geophysicists compile a suite of aeromagnetic anomaly images, derived from amplitude and texture measurement operations, in order to obtain a qualitative interpretation of the lithological (rock) structure. Texture measures have proven to be especially capable of capturing the magnetic anomaly signature of unique lithological units. We performed a quantitative study to explore the possibility of using texture measures as input to a machine vision system in order to achieve automated classification of lithological units. This work demonstrated a significant improvement in classification accuracy over random guessing based on a priori probabilities. Additionally, a quantitative comparison between the performances of five classes of texture measures in their ability to discriminate lithological units was achieved.
Suggested Citation
Shankar, V., 2009, Texture-based automated lithological classification using aeromagnetic anomaly images: U.S. Geological Survey Open-File Report 2009-1206, 130 p., https://doi.org/10.3133/ofr20091206.
ISSN: 2331-1258 (online)
Study Area
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Texture-based automated lithological classification using aeromagnetic anomaly images |
| Series title | Open-File Report |
| Series number | 2009-1206 |
| DOI | 10.3133/ofr20091206 |
| Year Published | 2009 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Contributing office(s) | Western Mineral Resources Science Center |
| Description | 130 p. |
| Country | United States |
| State | Arizona |
| County | Santa Cruz County |
| Online Only (Y/N) | Y |