Results 11 to 20 of about 12,913 (258)
TanDEM-X multiparametric data features in sea ice classification over the Baltic sea [PDF]
Geo-spatial Information Science, 2021 In this study, we assess the potential of X-band Interferometric Synthetic Aperture Radar imagery for automated classification of sea ice over the Baltic Sea.
Marjan Marbouti +6 more
doaj +4 more sources
Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSea ice, crucial to the Arctic and Earth's climate, requires consistent monitoring and high-resolution mapping. Manual sea ice mapping, however, is time-consuming and subjective, prompting the need for automated deep learning-based classification ...
Behzad Vahedi +6 more
doaj +3 more sources
IceBench: A Benchmark for Deep-Learning-Based Sea-Ice Type Classification
Remote SensingSea ice plays a critical role in the global climate system and maritime operations, making timely and accurate classification essential. However, traditional manual methods are time-consuming, costly, and have inherent biases.
Samira Alkaee Taleghan +3 more
doaj +3 more sources
An iterative approach to multisensor sea ice classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2000 Characterizing the variability in sea ice in the polar regions is fundamental to an understanding of global climate and the geophysical processes governing climate changes. Sea ice can be grouped into a number of general classes with different characteristics.
Quinn P. Remund +2 more
openaire +1 more source
A Two-Scale Method of Sea Ice Classification Using TerraSAR-X ScanSAR Data During Early Freeze-Up
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Sea ice classification using synthetic aperture radar (SAR) in the wide-swath mode is one method for ice type retrieval. The conventional method of sea ice classification involves single-scale classification, wherein the backscatter and gray-level co ...
Huiying Liu, Huadong Guo, Guang Liu
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Accurate identification of sea ice type from altimeter data is important for inversion of sea ice freeboard by radar altimeter, as well as for maritime navigation in polar regions.
Xi Zhang +9 more
doaj +1 more source
Knowledge-based sea ice classification by polarimetric SAR [PDF]
IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004 Polarimetric SAR images acquired at C- and L-band over sea ice in the Greenland Sea, Baltic Sea, and Beaufort Sea have been analysed with respect to their potential for ice type classification. The polarimetric data were gathered by the Danish EMISAR and the US AIRSAR which both are airborne systems.
Henning Skriver, Wolfgang Dierking
openaire +3 more sources
Remote Sensing, 2023 The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography Satellite (CFOSAT) is the first spaceborne rotating fan-beam scatterometer (RFSCAT). A new algorithm for classification of Arctic sea ice types on CSCAT measurement data using
Xiaochun Zhai +9 more
doaj +1 more source
Journal of Spectroscopy, 2021 It is of great significance to monitor sea ice for relieving and preventing sea ice disasters. In this paper, the growth and development of sea ice in Liaodong Bay of Bohai Sea in China were monitored using Sentinel-2 remote sensing data during the ...
Zhiyong Wang +4 more
doaj +1 more source
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
doaj +1 more source