A survey on Gaussian processes for earth-observation data analysis: A comprehensive investigation

IEEE Geoscience and Remote Sensing Magazine

Volumn 4, Issue 2, 2016, Pages 58-78

  Camps Valls, Gustau ^a   Verrelst, Jochem ^a   Munoz Mari, Jordi ^a   Laparra, Valero ^a   Mateo Jimenez, Fernando ^a   Gomez Dans, Jose ^b  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); RADIATIVE TRANSFER; REMOTE SENSING; SPACE OPTICS;

BAYESIAN FRAMEWORKS; EARTH OBSERVATION DATA; FEATURE RANKING; FUNCTION APPROXIMATION PROBLEMS; GAUSSIAN PROCESSES; NOISE CHARACTERISTIC; PARAMETER RETRIEVAL; PROCESS DEVELOPMENT; SIGNAL CHARACTERISTIC; UNCERTAINTY INTERVALS;

COMPUTATIONAL EFFICIENCY;

ALGORITHM; EOS; GAUSSIAN METHOD; NUMERICAL MODEL; RADIATIVE TRANSFER; REMOTE SENSING; SIGNAL-TO-NOISE RATIO; SURVEY METHOD;

EID: 84976385353     PISSN: 24732397     EISSN: 21686831     Source Type: Journal    
DOI: 10.1109/MGRS.2015.2510084     Document Type: Review

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