83 citations as recorded by crossref.

1. Semi-Automated Classification of Lake Ice Cover Using Dual Polarization RADARSAT-2 Imagery J. Wang et al. 10.3390/rs10111727
2. Assessing the Parameterization of RADARSAT-2 Dual-polarized ScanSAR Scenes on the Accuracy of a Convolutional Neural Network for Sea Ice Classification: Case Study over Coronation Gulf, Canada B. Montpetit et al. 10.1080/07038992.2023.2247091
3. Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel J. Park et al. 10.1109/TGRS.2017.2765248
4. Extent, duration and timing of the sea ice cover in Hornsund, Svalbard, from 2014–2023 Z. Swirad et al. 10.5194/tc-18-895-2024
5. Review of Methods to Retrieve Sea-Ice Parameters from Satellite Microwave Radiometer Data E. Zabolotskikh 10.1134/S0001433818060166
6. SI-STSAR-7: A Large SAR Images Dataset with Spatial and Temporal Information for Classification of Winter Sea Ice in Hudson Bay W. Song et al. 10.3390/rs14010168
7. Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern et al. 10.5194/tc-16-349-2022
8. Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning Y. Wang & X. Li 10.5194/essd-13-2723-2021
9. Icy lakes extraction and water-ice classification using Landsat 8 OLI multispectral data K. Barbieux et al. 10.1080/01431161.2018.1447165
10. Monitoring the Ice Phenology of Qinghai Lake from 1980 to 2018 Using Multisource Remote Sensing Data and Google Earth Engine M. Qi et al. 10.3390/rs12142217
11. Support vector machine learning applied to digital images of river ice conditions H. Kalke & M. Loewen 10.1016/j.coldregions.2018.08.014
12. Mapping sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle J. Lohse et al. 10.1017/aog.2020.45
13. MODIS Sea Ice Thickness and Open Water–Sea Ice Charts over the Barents and Kara Seas for Development and Validation of Sea Ice Products from Microwave Sensor Data M. Mäkynen & J. Karvonen 10.3390/rs9121324
14. Exploring the Pacific Arctic Seasonal Ice Zone With Saildrone USVs A. Chiodi et al. 10.3389/fmars.2021.640697
15. Antarctic Sea ice distribution detection based on improved ant colony algorithm X. Wang & Z. Sun 10.3389/fmars.2024.1500537
16. First-Year and Multiyear Sea Ice Incidence Angle Normalization of Dual-Polarized Sentinel-1 SAR Images in the Beaufort Sea W. Aldenhoff et al. 10.1109/JSTARS.2020.2977506
17. Denoising Sentinel-1 Extra-Wide Mode Cross-Polarization Images Over Sea Ice Y. Sun & X. Li 10.1109/TGRS.2020.3005831
18. Automatic discrimination approach of sea ice in the Arctic Ocean using Sentinel-1 Extra Wide Swath dual-polarized SAR data D. Hong & C. Yang 10.1080/01431161.2017.1415486
19. A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery L. Zhao et al. 10.3390/rs17020277
20. Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector Machine With Unsupervised Generation of Training Data X. Li et al. 10.1109/TGRS.2020.3007789
21. Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions R. Pires de Lima et al. 10.1080/01431161.2023.2248560
22. Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
23. A review of artificial intelligence in marine science T. Song et al. 10.3389/feart.2023.1090185
24. Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT–2 SAR Images and CNNs N. Saberi et al. 10.3390/rs14030644
25. Automatic Ship Detection Using the Artificial Neural Network and Support Vector Machine from X-Band Sar Satellite Images J. Hwang & H. Jung 10.3390/rs10111799
26. Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification J. Lohse et al. 10.3390/rs13040552
27. Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery X. Chen et al. 10.1109/TGRS.2022.3233871
28. Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features M. Jiang et al. 10.1109/JSTARS.2022.3205849
29. E-MPSPNet: Ice–Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision W. Song et al. 10.3390/rs14225753
30. Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts B. Vahedi et al. 10.1109/JSTARS.2024.3413003
31. Automated Extraction of Inundated Areas from Multi-Temporal Dual-Polarization RADARSAT-2 Images of the 2011 Central Thailand Flood P. Nakmuenwai et al. 10.3390/rs9010078
32. An Operational Tool for the Automatic Detection and Removal of Border Noise in Sentinel-1 GRD Products M. Stasolla & X. Neyt 10.3390/s18103454
33. Ice Floe Tracker: An algorithm to automatically retrieve Lagrangian trajectories via feature matching from moderate-resolution visual imagery R. Lopez-Acosta et al. 10.1016/j.rse.2019.111406
34. Comparison of ice/water classification in Fram Strait from C- and L-band SAR imagery W. Aldenhoff et al. 10.1017/aog.2018.7
35. Comparative Evaluation of Sea Ice Lead Detection Based on SAR Imagery and Altimeter Data N. Longepe et al. 10.1109/TGRS.2018.2889519
36. A Two-Round Weight Voting Strategy-Based Ensemble Learning Method for Sea Ice Classification of Sentinel-1 Imagery B. Wang et al. 10.3390/rs13193945
37. Light from space illuminating the polar silk road X. Li et al. 10.1080/17538947.2022.2139865
38. TanDEM-X multiparametric data features in sea ice classification over the Baltic sea M. Marbouti et al. 10.1080/10095020.2020.1845574
39. Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features Learning W. Song et al. 10.1109/TGRS.2020.3049031
40. A Convolutional Neural Network Architecture for Sentinel-1 and AMSR2 Data Fusion D. Malmgren-Hansen et al. 10.1109/TGRS.2020.3004539
41. Observations from C-Band SAR Fully Polarimetric Parameters of Mobile Sea Ice Based on Radar Scattering Mechanisms to Support Operational Sea Ice Monitoring M. Shokr et al. 10.1080/07038992.2021.2003701
42. Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics M. Qu et al. 10.1016/j.rse.2024.114193
43. Arctic Sea Ice Characterization Using Spaceborne Fully Polarimetric L-, C-, and X-Band SAR With Validation by Airborne Measurements S. Singha et al. 10.1109/TGRS.2018.2809504
44. Integrating Incidence Angle Dependencies Into the Clustering-Based Segmentation of SAR Images A. Cristea et al. 10.1109/JSTARS.2020.2993067
45. Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product Y. Sun et al. 10.1109/TGRS.2023.3281594
46. Can a computer see what an ice expert sees? Multilabel ice objects classification with convolutional neural networks E. Kim et al. 10.1016/j.rineng.2019.100036
47. Automated Detection of Ice and Open Water From Dual-Polarization RADARSAT-2 Images for Data Assimilation A. Komarov & M. Buehner 10.1109/TGRS.2017.2713987
48. IceGCN: An Interactive Sea Ice Classification Pipeline for SAR Imagery Based on Graph Convolutional Network M. Jiang et al. 10.3390/rs16132301
49. Method for detection of leads from Sentinel-1 SAR images D. Murashkin et al. 10.1017/aog.2018.6
50. Improved Retrieval of Ice and Open Water From Sequential RADARSAT-2 Images A. Komarov & M. Buehner 10.1109/TGRS.2018.2886685
51. An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission N. Rodriguez-Alvarez et al. 10.1016/j.rse.2019.05.021
52. Arctic Sea Ice and Open Water Classification From Spaceborne Fully Polarimetric Synthetic Aperture Radar Y. Lu et al. 10.1109/TGRS.2023.3266158
53. Data Augmentation for SAR Sea Ice and Water Classification Based on Per-Class Backscatter Variation With Incidence Angle Q. Wang et al. 10.1109/TGRS.2023.3291927
54. Textural Noise Correction for Sentinel-1 TOPSAR Cross-Polarization Channel Images J. Park et al. 10.1109/TGRS.2018.2889381
55. Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. 10.1109/TGRS.2024.3444045
56. Adaptive Probability Thresholding in Automated Ice and Open Water Detection From RADARSAT-2 Images A. Komarov & M. Buehner 10.1109/LGRS.2018.2806189
57. MYI Floes Identification Based on the Texture and Shape Feature from Dual-Polarized Sentinel-1 Imagery S. Chen et al. 10.3390/rs12193221
58. The AutoICE Challenge A. Stokholm et al. 10.5194/tc-18-3471-2024
59. Gray Level Co-occurrence Matrix textural analysis for temporal mapping of sea ice in Sentinel-1A SAR images F. HILLEBRAND et al. 10.1590/0001-3765202420240554
60. Tuning parameters of a sea ice model using machine learning A. Korosov et al. 10.5194/gmd-18-885-2025
61. Retrieval of Sea Ice Drift From the Central Arctic to the Fram Strait Based on Sequential Sentinel-1 SAR Data Y. Qiu & X. Li 10.1109/TGRS.2022.3226223
62. Satellite SAR Data-based Sea Ice Classification: An Overview N. Zakhvatkina et al. 10.3390/geosciences9040152
63. Monitoring of Dangerous Ice Phenomena Using Satellite Imagery and Model Simulation V. Smirnov et al. 10.3103/S1068373919110049
64. Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR H. Han et al. 10.1080/15481603.2020.1767857
65. Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery N. Asadi et al. 10.1109/TGRS.2020.2992454
66. X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring A. Johansson et al. 10.1016/j.rse.2017.10.032
67. Enhancing and Interpreting Deep Learning for Sea Ice Charting using the AutoICE Benchmark S. Jalayer et al. 10.1016/j.rsase.2025.101538
68. Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B A. Johansson et al. 10.1017/aog.2019.52
69. Prediction of Categorized Sea Ice Concentration From Sentinel-1 SAR Images Based on a Fully Convolutional Network I. de Gelis et al. 10.1109/JSTARS.2021.3074068
70. Sea Ice Detection from RADARSAT-2 Quad-Polarization SAR Imagery Based on Co- and Cross-Polarization Ratio L. Zhao et al. 10.3390/rs16030515
71. Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges W. Huang et al. 10.3390/rs16050842
72. Automated Sentinel-1 sea ice type mapping and in-situ validation during the CIRFA-22 cruise J. Lohse et al. 10.1017/aog.2024.23
73. Assessment of the High Resolution SAR Mode of the RADARSAT Constellation Mission for First Year Ice and Multiyear Ice Characterization M. Dabboor et al. 10.3390/rs10040594
74. Routeview: an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data A. Wu et al. 10.1080/17538947.2022.2126016
75. Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data L. Zhao et al. 10.1109/JSTARS.2023.3285857
76. Sea ice classification of TerraSAR-X ScanSAR images for the MOSAiC expedition incorporating per-class incidence angle dependency of image texture W. Guo et al. 10.5194/tc-17-1279-2023
77. Classification of sea ice types in Sentinel-1 synthetic aperture radar images J. Park et al. 10.5194/tc-14-2629-2020
78. Observations of SAR polarimetric parameters of lake and fast sea ice during the early growth phase M. Shokr & M. Dabboor 10.1016/j.rse.2020.111910
79. Discrimination of open water from sea ice in the Labrador Sea using quad-polarized synthetic aperture radar T. Xie et al. 10.1016/j.rse.2020.111948
80. Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks H. Boulze et al. 10.3390/rs12132165
81. A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade H. Lyu et al. 10.1109/JSTARS.2022.3194324
82. Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling M. Hoekstra et al. 10.3390/rs12091425
83. Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification P. Heiselberg & H. Heiselberg 10.3390/rs9111156