Spectral band selection for vegetation properties retrieval using Gaussian processes regression

International Journal of Applied Earth Observation and Geoinformation

Volumn 52, Issue , 2016, Pages 554-567

  Verrelst, Jochem ^a   Rivera, Juan Pablo ^a,b   Gitelson, Anatoly ^c   Delegido, Jesus ^a   Moreno, José ^a   Camps Valls, Gustau ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

^b CENTRO DE INVESTIGACIÓN CIENTÍFICA Y DE EDUCACIÓN SUPERIOR DE ENSENADA   (Mexico)

^c TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

ARTMO; Band selection; Gaussian processes regression (GPR); Hyperspectral; Machine learning; Vegetation properties

Indexed keywords

ALGORITHM; GAUSSIAN METHOD; MACHINE LEARNING; REGRESSION ANALYSIS; SPECTRAL ANALYSIS; VEGETATION INDEX;

GLYCINE MAX; ZEA MAYS;

EID: 84997822665     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2016.07.016     Document Type: Article

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