Automatic classification of water-leaving radiance anomalies from global SeaWiFS imagery: Application to the detection of phytoplankton groups in open ocean waters

Remote Sensing of Environment

Volumn 146, Issue , 2014, Pages 97-112

  Ben Mustapha, Zied ^a   Alvain, Séverine ^a   Jamet, Cédric ^a   Loisel, Hubert ^a   Dessailly, David ^a  

^a UNIV LILLE   (France)

Author keywords

Ocean color; PHYSAT; Phytoplankton; Self organizing maps

Indexed keywords

BAND STRUCTURE; CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; CONFORMAL MAPPING; IMAGING TECHNIQUES; OCEANOGRAPHY; REMOTE SENSING; SELF ORGANIZING MAPS; TOOLS;

AUTOMATIC CLASSIFICATION; INHERENT OPTICAL PROPERTIES; NEURAL NETWORK CLUSTERING; OCEAN COLOR; PHYSAT; SEA-VIEWING WIDE FIELD-OF-VIEW SENSORS; SPATIAL AND TEMPORAL RESOLUTIONS; UNSUPERVISED CLASSIFICATION;

PHYTOPLANKTON;

ALGAL BLOOM; ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUTOMATION; BIOMARKER; CLIMATE EFFECT; DIATOM; IMAGE CLASSIFICATION; OCEAN COLOR; OPEN OCEAN; PHYTOPLANKTON; PIXEL; SATELLITE IMAGERY; SEAWATER; SEAWIFS; UNSUPERVISED CLASSIFICATION; UPWELLING;

BACILLARIOPHYTA; CYANOBACTERIA; PHAEOCYSTIS; PROCHLOROCOCCUS; SYNECHOCOCCUS;

EID: 84899431005     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.08.046     Document Type: Article

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