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Characterization and discrimination of evolving mineral and plant oil slicks based on L-band synthetic aperture radar (SAR).

, , , , and . SAR, volume 10003 of SPIE Proceedings, page 100030K. SPIE, (2016)

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Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective., , and . Remote. Sens., 9 (11): 1088 (2017)Oil spill dispersion in full-polarimetric and hybrid-polarity SAR., , and . IGARSS, page 1020-1023. IEEE, (2017)The Impact of System Noise in Polarimetric SAR Imagery on Oil Spill Observations., , , , and . IEEE Trans. Geosci. Remote. Sens., 58 (6): 4194-4214 (2020)Large-scale detection and categorization of oil spills from SAR images with deep learning., , and . CoRR, (2020)Oil-Spill-Response-Oriented Information Products Derived From a Rapid-Repeat Time Series of SAR Images., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)The Impact of Additive Noise on Polarimetric Radarsat-2 Data Covering Oil Slicks., , , and . IGARSS, page 5756-5759. IEEE, (2019)Assessment of the RISAT-1 FRS-2 mode for oil spill observation., , and . IGARSS, page 1024-1027. IEEE, (2017)Up-Scaling from Quad-Polarimetric to Dual-Polarimetric SAR Data Using Machine Learning Gaussian Process Regression., , and . IGARSS, page 7332-7335. IEEE, (2018)Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data., , and . IEEE Trans. Geosci. Remote. Sens., 59 (6): 4618-4634 (2021)Detection of Commercial Fishing-related Slipping Events using Multimodal Data., , , , and . ISM, page 155-156. IEEE, (2022)