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Oil Slicks Detection From Polarimetric Data Using Stochastic Distances Between Complex Wishart Distributions.

, , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (2): 463-477 (2017)

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Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data., , , , , and . Remote Sensing, 10 (4): 637 (2018)Oil slicks detection using a polarimetric region classifier., , , , and . IGARSS, page 3239-3242. IEEE, (2015)Automatic recognition of coastal and oceanic environmental events with orbital radars., , and . IGARSS, page 914-916. IEEE, (2007)Intelligent hybrid system for dark spot detection using SAR data., , , , and . Expert Syst. Appl., (2017)The contribution of ASTER, CBERS, R99/SIPAM e OrbiSAR-1 data to improve the oceanic monitoring., , , , and . IGARSS, page 994-996. IEEE, (2007)Oil Slicks Detection From Polarimetric Data Using Stochastic Distances Between Complex Wishart Distributions., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (2): 463-477 (2017)Multi-sensor synergetic analysis of mesoscale oceanic features: Campos Basin, southeastern Brazil., , and . IGARSS, page 2662-2664. IEEE, (2003)The use of InSAR technology to characterize land surface deformation in the Canto do Amaro oilfield, Northeastern Brazil., , , and . IGARSS, page 1721-1724. IEEE, (2019)