24 citations as recorded by crossref.

1. Separability of sea ice types from wide swath C- and L-band synthetic aperture radar imagery acquired during the melt season J. Casey et al. 10.1016/j.rse.2015.12.021
2. Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
3. Agreement and Complementarity of Sea Ice Drift Products A. Johansson & A. Berg 10.1109/JSTARS.2015.2506786
4. Wavelet Operators and Multiplicative Observation Models—Application to SAR Image Time-Series Analysis A. Atto et al. 10.1109/TGRS.2016.2587626
5. Synergistic RADARSAT-2 and Sentinel-1 SAR Images for Ocean Feature Analysis W. Van Wychen et al. 10.1080/07038992.2019.1662284
6. An Improved L2Net for Repetitive Texture Image Registration with Intensity Difference Heterogeneous SAR Images P. Men et al. 10.3390/rs14112527
7. Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery M. Li et al. 10.1109/JSTARS.2022.3166897
8. 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
9. 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
10. Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features M. Jiang et al. 10.1109/JSTARS.2022.3205849
11. Glacial and tidal strain of landfast sea ice in Terra Nova Bay, East Antarctica, observed by interferometric SAR techniques H. Han & H. Lee 10.1016/j.rse.2018.02.033
12. Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays W. Dierking et al. 10.5194/tc-14-2999-2020
13. An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
14. An improvement in accuracy and spatial resolution of the pattern-matching sea ice drift from SAR imagery X. Wang et al. 10.1080/17538947.2023.2264918
15. Improvement of the feature tracking and patter matching algorithm for sea ice motion retrieval from SAR and optical imagery M. Li et al. 10.1016/j.jag.2022.102908
16. Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery Y. Fang et al. 10.1016/j.jag.2023.103353
17. Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data M. Dabboor et al. 10.3390/rs9121270
18. Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys J. Negrel et al. 10.1017/aog.2020.61
19. Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes S. Howell et al. 10.1016/j.rse.2017.10.017
20. Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements A. Johansson et al. 10.1002/2016JC012273
21. On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation J. Karvonen et al. 10.1109/TGRS.2020.2985696
22. Comparison of ice/water classification in Fram Strait from C- and L-band SAR imagery W. Aldenhoff et al. 10.1017/aog.2018.7
23. A Study of Landfast Ice with Sentinel-1 Repeat-Pass Interferometry over the Baltic Sea M. Marbouti et al. 10.3390/rs9080833
24. Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data M. Dabboor et al. 10.3390/rs9121270