Land and Sea Surface Temperature Estimation by Support Vector Regression

Kernel Methods for Remote Sensing Data Analysis

Volumn , Issue , 2009, Pages 301-325

  Moser, Gabriele ^a   Serpico, Sebastiano B ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Generalization error bound concepts used by PSB; Land and sea surface temperature estimation by support vector regression; Land surface temperature (LST) and sea surface temperature (SST) and role in environmental models; LST hydrological and meteorological models and satellite infrared remote sensing; Pixelwise probability distribution of SVR error; Pointwise statistical modelling of SVR error; SEVIRI instrument on board Meteosat Second Generation (MSG); Split window techniques (SWTs) in multiple TIR channels; Support vector classification (SVC); SVR framework methods automating parameter optimization processes

Indexed keywords

EID: 67651169838     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470748992.ch13     Document Type: Chapter

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