Results 221 to 230 of about 12,913 (258)

Automated Classification of Operational SAR Sea Ice Images

2010 Canadian Conference on Computer and Robot Vision, 2010
The automated classification of operational sea ice satellite imagery is important for ship navigation and environmental monitoring. Annually, thousands of large synthetic aperture radar (SAR) scenes are manually processed by the Canadian Ice Service (CIS) and pixel-level interpretation is not feasible.
Shuhrat Ochilov, David A. Clausi
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A neural network algorithm for sea ice edge classification

IEEE Transactions on Geoscience and Remote Sensing, 1997
The NASA Scatterometer (NSCAT), launched in August 1995, is designed to measure wind vectors over ice-free oceans. To prevent contamination of the wind measurements, by the presence of sea ice, algorithms based on neural network technology have been developed to classify ice-free ocean surfaces.
Sami Alhumaidi, Linwood Jones, Jun-Dong Park, Shannon M. Ferguson   +3 more
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Bayesian classification of the ice cover of the Arctic seas

Izvestiya, Atmospheric and Oceanic Physics, 2015
A classification of sea ice in the Arctic by age (multiyear; first-year; and first-year deformed ice, nilas, etc.) is developed based on the Bayesian approach using satellite radar data and taking into account regional peculiarities of these types of ice for different sectors of the Arctic. Estimations of a priori probabilities for each ice type, which
N. Yu. Zakhvatkina, I. A. Bychkova
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Sea Ice Type Classification Of Sar Imagery

International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., 2005
Fully automatic algorithms have been developed which can produce sea ice type classification maps and sea ice concentration estimates of synthetic aperture radar (SAR) imagery. The sea ice type classification algorithm uses local statistics to determine ice type boundaries, and the ice concentration algorithm iteratively decomposes the histogram into ...
C.C. Wackerman, R.R. Jentz, R.A. Shuchman   +2 more
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Active Microwave Classification Of Sea Ice

12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 2005
Radar backscatter studies of Arctic sea ice have been carried out over a number of years with the intent to acquire physical property information through the examination of microwave signatures. The breadth of these studies continues to expand; as an example, measurements are now conducted at frequencies from 500 MHz to about 100 GHz.
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Fuzzy clustering approach in unsupervised sea-ice classification

Neurocomputing, 1999
Abstract Fuzzy clustering approach for the determination of sea-ice types in polar regions from passive radar images is considered in this paper. The sea-ice concentration in polar regions is generally monitored by multichannel passive microwave imager, and the sea-ice types in polar regions are determined by clustering.
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Automated Sea Ice Classification Using Sentinel-1 Imagery

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Sentinel-1A and 1B operate in Extra Wide swath dual-polarization mode over the Arctic Seas, and the two-satellite constellation provides the most frequent SAR observation of the Arctic sea ice ever. However, the use of Sentinel-1 for sea ice classification has not been popular because of relatively higher level of system noise and radiometric ...
Jeong-Won Park, Anton A. Korosov, Mohamed Babiker, Hyun-Cheol Kim   +3 more
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Sea-Ice Image Classification for Channel Navigation in Polar Application

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
In the paper, we proposed a novel framework for the sea-ice images classification, which will be very helpful for the future channel navigation in polar applications. Firstly, the three different types of sea ice are defined in the paper based on the large amounts of data inspection, such as thick ice, thin ice and water.
Nan Su 0001, Chunming Zhang, Yiming Yan, Chunhui Zhao 0003, Zhichao Tan   +4 more
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ERS-2 SAR image analysis for sea ice classification in the marginal ice zone

IEEE International Geoscience and Remote Sensing Symposium, 2003
The possibility to distinguish between different sea ice types in the marginal ice zone in the Greenland Sea using ERS-2 SAR is investigated. Statistical, textural and spectral features derived from ERS-2 SAR images and ice concentrations from 85 GHz SSM/I data are analyzed using learning vector quantization. The proposed method is useful for resolving
Lars Kaleschke, Stefan Kern
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Thermal sea ice classification during the MOSAiC expedition

2021
<p>The MOSAiC expedition took place in the Arctic from September 2019 to October 2020 while having measurements under, in, and above sea ice for a complete annual cycle. Airborne thermal infrared imaging was conducted during 41 helicopter survey flights along the MOSAiC drift track.
Linda Thielke, Marcus Huntemann, Gunnar Spreen, Stefan Hendricks, Arttu Jutila, Robert Ricker   +5 more
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