A data-driven approach to quality assessment for hyperspectral systems

Grégoire Kerr; Christian Fischer; Ralf Reulke

doi:10.1016/j.cageo.2015.07.004

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JOURNAL ARTICLE

A data-driven approach to quality assessment for hyperspectral systems

Grégoire Kerr Christian Fischer Ralf Reulke

Year: 2015 Journal: Computers & Geosciences Vol: 83 Pages: 100-109 Publisher: Elsevier BV

DOI: 10.1016/j.cageo.2015.07.004

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Keywords:

Hyperspectral imaging Computer science Data quality Quality (philosophy) Remote sensing Quality assessment Data mining Geology Artificial intelligence Reliability engineering Evaluation methods

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Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Geochemistry and Geologic Mapping

Physical Sciences → Computer Science → Artificial Intelligence

A data-driven approach to quality assessment for hyperspectral systems

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Citation History

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