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[HTML][HTML] Satellite SAR data-based sea ice classification: An overview
N Zakhvatkina, V Smirnov, I Bychkova - Geosciences, 2019 - mdpi.com
A review of the main approaches developed for sea ice classification using satellite imagery
is presented. Satellite data are the main and very often only information source for sea ice …
is presented. Satellite data are the main and very often only information source for sea ice …
Polarimetric SAR applications of sea ice: A review
M Shokr, M Dabboor - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Fully polarimetric (FP) and compact polarimetry (CP) modes are advanced technologies of
synthetic aperture radar (SAR). Compared to the parameters available from traditional …
synthetic aperture radar (SAR). Compared to the parameters available from traditional …
Compact polarimetry overview and applications assessment
FJ Charbonneau, B Brisco, RK Raney… - Canadian Journal of …, 2010 - Taylor & Francis
Un système radar à synthèse d'ouverture (RSO) avec une architecture polarimétrique
hybride (CL-pol) transmet un signal en polarisation circulaire et reçoit aux polarisations …
hybride (CL-pol) transmet un signal en polarisation circulaire et reçoit aux polarisations …
Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images
Synthetic Aperture Radar (SAR) data from RADARSAT-2 (RS2) in dual-polarization mode
provide additional information for discriminating sea ice and open water compared to single …
provide additional information for discriminating sea ice and open water compared to single …
[HTML][HTML] X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
We examine an extensive synthetic aperture radar (SAR) data set from the Arctic Ocean
spanning a time period from January to June 2015, with the aim of identifying multi …
spanning a time period from January to June 2015, with the aim of identifying multi …
Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network
In this study, a convolutional neural network (CNN) is used to estimate sea ice concentration
using synthetic aperture radar (SAR) scenes acquired during freeze-up in the Gulf of St …
using synthetic aperture radar (SAR) scenes acquired during freeze-up in the Gulf of St …
Map** sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle
J Lohse, AP Doulgeris, W Dierking - Annals of Glaciology, 2020 - cambridge.org
Automated classification of sea-ice types in Synthetic Aperture Radar (SAR) imagery is
complicated by the class-dependent decrease of backscatter intensity with Incidence Angle …
complicated by the class-dependent decrease of backscatter intensity with Incidence Angle …
Towards sea ice classification using simulated RADARSAT Constellation Mission compact polarimetric SAR imagery
Hybrid-polarity SAR architecture will be included in future SAR missions such as the
Canadian RADARSAT Constellation Mission (RCM). These sensors will enable the use of …
Canadian RADARSAT Constellation Mission (RCM). These sensors will enable the use of …
Incidence angle dependence of first-year sea ice backscattering coefficient in Sentinel-1 SAR imagery over the Kara Sea
M Mäkynen, J Karvonen - IEEE Transactions on Geoscience …, 2017 - ieeexplore.ieee.org
We have studied the incidence angle (θ0) dependence of the sea ice backscattering
coefficient (0.°) for Sentinel-1 (S-1) extra wide (EW) mode dualpolarization (HH/HV) …
coefficient (0.°) for Sentinel-1 (S-1) extra wide (EW) mode dualpolarization (HH/HV) …
[HTML][HTML] C-and L-band SAR signatures of Arctic sea ice during freeze-up
Identifying sea ice types in the early stages of development from L-band SAR imagery
remains an active research area during the Arctic freeze-up period. We used ScanSAR C …
remains an active research area during the Arctic freeze-up period. We used ScanSAR C …