A stochastic model for oil spill detection in marine environment with SAR data

Autore
F. Parmiggiani
L.P. Alvarez-Hernandez
M. Moctezuma-Flores
Parole chiave
Discharge (fluid mechanics)
Hydrophilicity
Image processing
Ising model
Magnetorheological fluids
Marine pollution
Oil spills
Optimization
Petroleum industry
Radar imaging
Random processes
Remote sensing
Sea ice
Stochastic systems
Synthetic aperture radar
Catastrophic explosion
ENVISAT/ASAR
marine environment
Oil spill detection
Potential function
SAR Images
Scene interpretation
Stochastic optimization procedures
Stochastic models
Year of Publication
2018
Conference Name
Proceedings of SPIE - The International Society for Optical Engineering
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056456526&doi=10.1117%2f12.2324883&partnerID=40&md5=a325512a8a3b508fe9f04462a5f91c42
DOI
10.1117/12.2324883