Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols

Neural Networks

Volumn 19, Issue 2, 2006, Pages 178-185

  Brajard, Julien ^a   Jamet, Cédric ^b   Moulin, Cyril ^b   Thiria, Sylvie ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

Absorbing aerosols; Atmospheric correction; Cost function; Multilayer perceptron; NeuroVaria; Ocean colour; Satellite; Variational inversion

Indexed keywords

AEROSOLS; COMPUTATION THEORY; COMPUTER SIMULATION; COSTS; SATELLITES; SENSORS;

ABSORBING AEROSOLS; ATMOSPHERIC CORRECTION; COST FUNCTIONS; MULTILAYER PERCEPTRON; NEUROVARIA; OCEAN COLOUR; VARIATIONAL INVERSION;

NEURAL NETWORKS;

ABSORPTION; AEROSOL; AIR POLLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERE; BIOSENSOR; COMPARATIVE STUDY; COST BENEFIT ANALYSIS; COST MINIMIZATION ANALYSIS; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PARAMETERS; MEASUREMENT; OCEANIC REGIONS; PRIORITY JOURNAL; RADIOACTIVITY; SIMULATION; STANDARD; STATISTICAL DISTRIBUTION; TRANSPORT KINETICS;

AEROSOLS; AIR POLLUTANTS; ALGORITHMS; ATMOSPHERE; COLOR; COMPUTER SIMULATION; ENVIRONMENTAL MONITORING; OCEANS AND SEAS; RADIATION; REPRODUCIBILITY OF RESULTS; SATELLITE COMMUNICATIONS; TIME FACTORS;

EID: 33646489285     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2006.01.015     Document Type: Article

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