Learning-based algal bloom event recognition for oceanographic decision support system using remote sensing data

Remote Sensing

Volumn 7, Issue 10, 2015, Pages 13564-13585

  Song, Weilong ^a   Dolan, John M ^b   Cline, Danelle ^c   Xiong, Guangming ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c MONTEREY BAY AQUARIUM RESEARCH INSTITUTE   (United States)

Author keywords

Machine learning; Monterey Bay; Random forest; Remote sensing

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DECISION TREES; LEARNING SYSTEMS; SATELLITES; SUPPORT VECTOR MACHINES;

MACHINE LEARNING METHODS; MONTEREY BAY; PRIOR INFORMATION; RANDOM FOREST MODELING; RANDOM FORESTS; REMOTE SENSING DATA; REMOTE SENSING SATELLITES; STATISTICAL MACHINE LEARNING;

REMOTE SENSING;

EID: 84945959296     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs71013564     Document Type: Article

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