12 citations as recorded by crossref.

1. Intercomparison of Arctic Sea Ice Backscatter and Ice Type Classification Using Ku-Band and C-Band Scatterometers Z. Zhang et al. 10.1109/TGRS.2021.3099835
2. AI4SeaIce: selecting loss functions for automated SAR sea ice concentration charting A. Kucik & A. Stokholm 10.1038/s41598-023-32467-x
3. Mapping the thickness of sea ice in the Arctic as an example of using data from a ship-based television complex for operational hydrometeorological support of maritime activities E. Afanasyeva et al. 10.30758/0555-2648-2022-68-2-96-117
4. Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification J. Lohse et al. 10.3390/rs13040552
5. 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
6. Passive Microwave Sea Ice Edge Displacement Error over the Eastern Canadian Arctic for the period 2013-2021 A. Soleymani et al. 10.1080/07038992.2023.2205531
7. Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern et al. 10.5194/tc-16-349-2022
8. Edge displacement scores A. Melsom 10.5194/tc-15-3785-2021
9. Supplementing Remote Sensing of Ice: Deep Learning-Based Image Segmentation System for Automatic Detection and Localization of Sea-ice Formations From Close-Range Optical Images N. Panchi et al. 10.1109/JSEN.2021.3084556
10. Sea ice recognition for CFOSAT SWIM at multiple small incidence angles in the Arctic M. Liu et al. 10.3389/fmars.2022.986228
11. RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss A. Nagi et al. 10.3390/rs13132460
12. 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