Towards automatic lithological classification from remote sensing data using support vector machines

Le Yu; Alok Porwal; Eun‐Jung Holden; Mike Dentith

doi:10.1016/j.cageo.2011.11.019

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Towards automatic lithological classification from remote sensing data using support vector machines

Le Yu Alok Porwal Eun‐Jung Holden Mike Dentith

Year: 2011 Journal: Computers & Geosciences Vol: 45 Pages: 229-239 Publisher: Elsevier BV

DOI: 10.1016/j.cageo.2011.11.019

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Keywords:

Advanced Spaceborne Thermal Emission and Reflection Radiometer Support vector machine Geology Digital elevation model Remote sensing Terrain Artificial intelligence Pattern recognition (psychology) Computer science Data mining Cartography

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5.09

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Topics

Geochemistry and Geologic Mapping

Physical Sciences → Computer Science → Artificial Intelligence

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Soil Geostatistics and Mapping

Physical Sciences → Environmental Science → Environmental Engineering

Towards automatic lithological classification from remote sensing data using support vector machines

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Citation History

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