Results 201 to 210 of about 3,219 (267)

Planning for a pinniped response during a marine oil spill. [PDF]

Environ Sci Pollut Res Int
Hall AA, Chilvers BL, Weir JS.
europepmc   +1 more source

Spatio-Temporal Machine Learning for Marine Pollution Prediction: A Multi-Modal Approach for Hotspot Detection and Seasonal Pattern Analysis in Pacific Waters. [PDF]

Toxics
Pattnaik S, Pinsky E.
europepmc   +1 more source

Oil spill surface washing agents and chemical herders drive microbial community structure impacting biodegradation. [PDF]

Appl Environ Microbiol
Lech KL, Sundaravadivelu D, Grosser RJ, Trutschel LR, Brinkman NE, Conmy RN.   +5 more
europepmc   +1 more source

Deciphering the binding strength of oil matrix through molecularly resolved release energy analysis using thermal slicing ramped pyrolysis GC-MS. [PDF]

Anal Bioanal Chem
Lu K, Xue J, Liu Z.
europepmc   +1 more source

Variational Autoencoder for the Prediction of Oil Contamination Temporal Evolution in Water Environments. [PDF]

Sensors (Basel)
Casado-Pérez A, Yanes S, Toral SL, Perales-Esteve M, Gutiérrez-Reina D.   +4 more
europepmc   +1 more source

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Detecting oil spills from space

SPIE Newsroom, 2010
The potential of oil-spill classification from multispectral data is enhanced by a new technique based on using support-vector machines.
Corucci Linda, Nardelli Fabio, COCOCCIONI, MARCO   +2 more
openaire   +1 more source

Multisource oil spill detection

SPIE Proceedings, 2013
In this paper we discuss how multisource data (wind, ocean-current, optical, bathymetric, automatic identification systems (AIS)) may be used to improve oil spill detection in SAR images, with emphasis on the use of automatic oil spill detection algorithms. We focus particularly on AIS, optical, and bathymetric data.
Arnt B. Salberg, Siri O. Larsen, Maciel Zortea   +2 more
openaire   +1 more source

One-class classification for oil spill detection

Pattern Analysis and Applications, 2009
SAR oil spill classification is a challenging topic, which is tackled by semi-empirical ad hoc approaches supported by very qualified experts. In all cases, the feature space is empirically defined, and two-class classification approaches are used. Although this approach allows achieving acceptable operational results, there is still room for improving
A. GAMBARDELLA, GIACINTO, GIORGIO, M. MIGLIACCIO, A. MONTALI   +3 more
openaire   +2 more sources