40 citations as recorded by crossref.

1. Vectorized dataset of roadside noise barriers in China using street view imagery Z. Qian et al. 10.5194/essd-14-4057-2022
2. Sea ice detection using concurrent multispectral and synthetic aperture radar imagery M. Rogers et al. 10.1016/j.rse.2024.114073
3. 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
4. Light from space illuminating the polar silk road X. Li et al. 10.1080/17538947.2022.2139865
5. Synthetic Aperture Radar (SAR) for Ocean: A Review R. Asiyabi et al. 10.1109/JSTARS.2023.3310363
6. Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts B. Vahedi et al. 10.1109/JSTARS.2024.3413003
7. Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges W. Huang et al. 10.3390/rs16050842
8. Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges W. Li et al. 10.3390/rs16203764
9. Mesoscale Westward Eddy Trajectory Prediction With Memory Augmented Neural Network W. Kan et al. 10.1109/JSTARS.2024.3502676
10. Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern et al. 10.5194/tc-16-349-2022
11. 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
12. Monthly precipitation prediction at regional scale using deep convolutional neural networks L. Ni et al. 10.1002/hyp.14954
13. Arctic Sea Ice and Open Water Classification From Spaceborne Fully Polarimetric Synthetic Aperture Radar Y. Lu et al. 10.1109/TGRS.2023.3266158
14. SeaIceNet: Sea Ice Recognition via Global-Local Transformer in Optical Remote Sensing Images W. Hong et al. 10.1109/TGRS.2024.3493121
15. Pan-Arctic ocean wind and wave data by spaceborne SAR X. Li et al. 10.1080/20964471.2021.1996858
16. 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
17. 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
18. 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
19. Global Oceanic Mesoscale Eddies Trajectories Prediction With Knowledge-Fused Neural Network X. Zhang et al. 10.1109/TGRS.2024.3388040
20. Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery X. Chen et al. 10.1109/TGRS.2022.3233871
21. Pan-Arctic sea ice concentration from SAR and passive microwave T. Wulf et al. 10.5194/tc-18-5277-2024
22. A review of artificial intelligence in marine science T. Song et al. 10.3389/feart.2023.1090185
23. Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions R. Pires de Lima et al. 10.1080/01431161.2023.2248560
24. Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima Y. Yu et al. 10.1109/TGRS.2024.3464850
25. Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data L. Zhao et al. 10.1109/JSTARS.2023.3285857
26. U-net with ResNet-34 backbone for dual-polarized C-band baltic sea-ice SAR segmentation J. Karvonen 10.1017/aog.2024.33
27. SAR deep learning sea ice retrieval trained with airborne laser scanner measurements from the MOSAiC expedition K. Kortum et al. 10.5194/tc-18-2207-2024
28. Integrated Retrieval of Surface and Atmospheric Variables in the Arctic From FY-3D MWRI With a Time-Constraint Optimal Estimation Method Z. Yan et al. 10.1109/TGRS.2024.3468309
29. Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery Y. Huang et al. 10.1016/j.rse.2024.114204
30. X- and C-Band SAR Signatures of Sea Ice in the Bohai Sea Y. Qiu et al. 10.1109/LGRS.2024.3468407
31. Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery E. Silveira et al. 10.1016/j.rse.2022.113391
32. Sea Ice Monitoring with CFOSAT Scatterometer Measurements Using Random Forest Classifier X. Zhai et al. 10.3390/rs13224686
33. A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery L. Zhao et al. 10.3390/rs17020277
34. Multi-band SAR intercomparison study in the Antarctic Peninsula for sea ice and iceberg detection C. Salvó et al. 10.3389/fmars.2023.1255425
35. Fine Resolution Classification of New Ice, Young Ice, and First-Year Ice Based on Feature Selection from Gaofen-3 Quad-Polarization SAR K. Yang et al. 10.3390/rs15092399
36. Automatic High-Accuracy Sea Ice Monitoring in the Arctic Using MODIS Data L. Jiang et al. 10.1109/TGRS.2023.3279405
37. Utilization of the U-Net Convolutional Neural Network and Its Modifications for Segmentation of Tundra Lakes in Satellite Optical Images I. Abramova et al. 10.1134/S1024856024700404
38. Ship Detection and Feature Visualization Analysis Based on Lightweight CNN in VH and VV Polarization Images X. Geng et al. 10.3390/rs13061184
39. Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data T. Zhang et al. 10.3390/rs13081452
40. Sea Ice Concentration Products over Polar Regions with Chinese FY3C/MWRI Data L. Shi et al. 10.3390/rs13112174