Results 21 to 30 of about 12,080 (258)
Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery [PDF]
The Cryosphere, 2023 Areas of thin sea ice in the polar regions not only are experiencing the highest rate of sea-ice production but also are, therefore, important hot spots for ocean ventilation as well as heat and moisture exchange between the ocean and the atmosphere ...
F. L. Müller +4 more
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Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data
Remote Sensing, 2022 Sea ice monitoring plays a vital role in secure navigation and offshore activities. Synthetic aperture radar (SAR) has been widely used as an effective tool for sea ice remote sensing (e.g., ice type classification, concentration and thickness retrieval)
Hangyu Lyu +2 more
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Remote Sensing, 2022 Sea ice mapping plays an integral role in ship navigation and meteorological modeling in the polar regions. Numerous published studies in sea ice classification using synthetic aperture radar (SAR) have reported high classification rates.
Mingzhe Jiang +2 more
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Remote Sensing, 2019 Sea ice is one of the causes of marine disasters. The classification of sea ice images is an important part of sea ice detection. The labeled samples in hyperspectral sea ice image classification are difficult to acquire, which causes minor sample ...
Yanling Han +4 more
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Model-based classification of polarimetric SAR sea ice data [PDF]
IEEE International Geoscience and Remote Sensing Symposium, 2003 This paper discusses the role of scattering decomposition models in the classification of polarimetric SAR sea ice data. The iterative Wishart classifier was applied to 3-frequency airborne SAR data acquired in the Beaufort Sea, and the scattering models were found to be helpful in interpreting the assigned classes.
Scheuchl, B., Hajnsek, I., Cumming, I.G.
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Annals of Glaciology, 2020 Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2 ...
A. Malin Johansson +7 more
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Multisensor microwave sea-ice classification
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003 A knowledge of polar sea-ice extent, type, and location is a valuable tool in understanding many geophysical processes. This paper presents an iterative statistical technique for ice classification of multisensor remote sensing imagery. NSCAT, ERS-2, and SSM/I data are used to construct enhanced resolution images.
Q.P. Remund, D.G. Long, M.R. Drinkwater
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A Novel Data Augmentation Method for Sea Ice Scene Classification of Arctic Aerial Images
IEEE Access, 2019 In this paper, a novel data augmentation method was proposed for supervised sea ice scene classification with arctic aerial images. Ice-type classification of sea ice scenes in a region is useful for instant navigation.
Yiming Yan, Chunming Zhang, Nan Su
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Geostatistical and Statistical Classification of Sea-Ice Properties and Provinces from SAR Data
Remote Sensing, 2016 Recent drastic reductions in the Arctic sea-ice cover have raised an interest in understanding the role of sea ice in the global system as well as pointed out a need to understand the physical processes that lead to such changes. Satellite remote-sensing
Ute C. Herzfeld +4 more
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Remote Sensing, 2022 The distribution of sea ice is one of the major safety hazards for sea navigation. As human activities in polar regions become more frequent, monitoring and forecasting of sea ice are of great significance.
Jiande Zhang +4 more
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