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Martine Mostervik Espeseth
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2020 – today
- 2022
- [c9]Tor-Arne S. Nordmo, Martine Mostervik Espeseth, Bjørn Aslak Juliussen, Michael A. Riegler, Dag Johansen:
Detection of Commercial Fishing-related Slipping Events using Multimodal Data. ISM 2022: 155-156 - 2021
- [j9]Katalin Blix
, Martine Mostervik Espeseth
Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data. IEEE Trans. Geosci. Remote. Sens. 59(6): 4618-4634 (2021) - 2020
- [j8]Filippo Maria Bianchi
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning. Remote. Sens. 12(14): 2260 (2020) - [j7]Martine Mostervik Espeseth
Oil-Spill-Response-Oriented Information Products Derived From a Rapid-Repeat Time Series of SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3448-3461 (2020) - [j6]A. Malin Johansson
Can Mineral Oil Slicks Be Distinguished From Newly Formed Sea Ice Using Synthetic Aperture Radar? IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4996-5010 (2020) - [j5]Martine Mostervik Espeseth
The Impact of System Noise in Polarimetric SAR Imagery on Oil Spill Observations. IEEE Trans. Geosci. Remote. Sens. 58(6): 4194-4214 (2020) - [c8]Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft:
Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric Sar Data. IGARSS 2020: 738-741 - [i1]Filippo Maria Bianchi, Martine Mostervik Espeseth, Njål Borch:
Large-scale detection and categorization of oil spills from SAR images with deep learning. CoRR abs/2006.13575 (2020)
2010 – 2019
- 2019
- [c7]A. Malin Johansson
Separation and Characterisation of Mineral OIL Slicks and Newly Formed Sea Ice in L-Band Synthetic Aperture Radar. IGARSS 2019: 3253-3256 - [c6]Andrea Marinoni, Martine Mostervik Espeseth
Assessment of Polarimetric Variability by Distance Geometry for Enhanced Classification of Oil Slicks Using SAR. IGARSS 2019: 5217-5220 - [c5]Martine Mostervik Espeseth
The Impact of Additive Noise on Polarimetric Radarsat-2 Data Covering Oil Slicks. IGARSS 2019: 5756-5759 - 2018
- [c4]Katalin Blix, Martine Mostervik Espeseth
Up-Scaling from Quad-Polarimetric to Dual-Polarimetric SAR Data Using Machine Learning Gaussian Process Regression. IGARSS 2018: 7332-7335 - 2017
- [j4]Martine Mostervik Espeseth
Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective. Remote. Sens. 9(11): 1088 (2017) - [j3]Martine Mostervik Espeseth
Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR. IEEE Trans. Geosci. Remote. Sens. 55(7): 4190-4210 (2017) - [c3]Camilla Brekke, Stine Skrunes, Martine Mostervik Espeseth
Oil spill dispersion in full-polarimetric and hybrid-polarity SAR. IGARSS 2017: 1020-1023 - [c2]Stine Skrunes, Camilla Brekke, Martine Mostervik Espeseth
Assessment of the RISAT-1 FRS-2 mode for oil spill observation. IGARSS 2017: 1024-1027 - 2016
- [j2]Martine Mostervik Espeseth
Hybrid-Polarity and Reconstruction Methods for Sea Ice With L- and C-Band SAR. IEEE Geosci. Remote. Sens. Lett. 13(3): 467-471 (2016) - [j1]Camilla Brekke
Cross-Correlation Between Polarization Channels in SAR Imagery Over Oceanographic Features. IEEE Geosci. Remote. Sens. Lett. 13(7): 997-1001 (2016) - [c1]Cathleen E. Jones, Martine Mostervik Espeseth
Characterization and discrimination of evolving mineral and plant oil slicks based on L-band synthetic aperture radar (SAR). SAR 2016: 100030K
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