Machine Learning Approaches for the Inversion of the Radiative Transfer Equation

DOI10.1007/978-1-4020-8919-0_22zbMath1181.68196OpenAlexW1654488237MaRDI QIDQ5302449

Esteban Garcia-Cuesta, Antonio J. de Castro, Fernando De La Torre

Publication date: 7 January 2009

Published in: Lecture Notes in Electrical Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4020-8919-0_22

zbMATH Keywords

neural networksfeature extractiondimensionality reductionradiative transfer equationcomponent analysis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Appearance models based on kernel canonical correlation analysis.
• Principal component analysis.

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