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A dynamic local thresholding technique for sea ice classification
Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002Many methods of sea ice classification are based upon global thresholding techniques. In thresholding, points are selected according to the histogram of an image and are used to achieve a representation of that image in a limited number of gray levels, or classifications. The authors have developed and implemented a local thresholding technique adapted
D. Haverkamp, L.K. Soh, C. Tsatsoulis
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Sea Ice Classification Using Mutually Guided Contexts
IEEE Transactions on Geoscience and Remote Sensing, 2023Xiaoyu Sun 0009 +5 more
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Machine learning techniques for sea-ice identification and classification
2023Sea-ice identification and classification are essential processes for safety critical navigation support of surface vessels in polar waters. Semantic segmentation has drawn much attention as an enabling technique for fast detection of objects in a scene including sea-ice conditions.
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Classification of Baltic Sea ice with airborne microwave radiometer
Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium, 2002A helicopter-borne multifrequency radiometer (24, 34, 48 and 94 GHz, vertical polarization) was used to investigate the behaviour of the brightness temperature of different sea ice types in the northern Baltic Sea. The measurements were made in dry and wet conditions (air temperature above and below 0/spl deg/C).
L. Kurvonen, M. Toikka, M. Hallikainen
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Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features Learning
IEEE Transactions on Geoscience and Remote Sensing, 2021Zhenling Ma, Wei Song, Cristian Perra
exaly
Sea ice classification, concentration and topography using SWOT
Sea ice plays a major role in climate, these changes are of great concern to scientists, who are seeking to forecast its behavior and understand their causes and effects. The most common techniques employed to monitor sea ice rely on 2D space imagery in a wide range of frequencies and techniques (optical, thermal, radiometric, SAR imagery). However, weJestin, Gwenael +8 more
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Robustness of SAR Sea Ice Type Classification Across Incidence Angles and Seasons at L-Band
IEEE Transactions on Geoscience and Remote Sensing, 2021Suman Singha +2 more
exaly
Potential applications of polarimetry to the classification of sea ice
1992Mark R. Drinkwater +5 more
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Spaceborne GNSS-R for Sea Ice Classification Using Machine Learning Classifiers
Remote Sensing, 2021Kegen Yu +2 more
exaly