Detection of anomalous particles from the Deepwater Horizon oil spill using the SIPPER3 underwater imaging platform

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2011, Pages 741-748

  Fefilatyev, Sergiy ^a   Kramer, Kurt ^a   Hall, Lawrence ^a   Goldgof, Dmitry ^a   Kasturi, Rangachar ^a   Remsen, Andrew ^b   Daly, Kendra ^b  

^a University of South Florida   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Classification; Images; Machine learning; Oil droplet detection; Oil spill; Plankton; Support vector machine

Indexed keywords

AIR BUBBLES; CLASSIFICATION ACCURACY; DEEPWATER; IMAGES; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; MARINE SNOW; MARITIME ENVIRONMENT; OIL DROPLETS; PLANKTON; SHADOW IMAGING; SUPPORT VECTOR; VISUAL DISPLAY; WATER COLUMNS;

CLASSIFICATION (OF INFORMATION); DATA MINING; IMAGE PROCESSING; LEARNING SYSTEMS; OCEAN HABITATS; OIL SPILLS; PHASE INTERFACES; SNOW; UNDERWATER IMAGING;

DROPS;

EID: 84857149843     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2011.65     Document Type: Conference Paper

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