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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 +5 more sources
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
Remote Sensing, 2021 We explore new and existing convolutional neural network (CNN) architectures for sea ice classification using Sentinel-1 (S1) synthetic aperture radar (SAR) data by investigating two key challenges: binary sea ice versus open-water classification, and a ...
Salman Khaleghian +5 more
doaj +3 more sources
Satellite SAR Data-based Sea Ice Classification: An Overview
Geosciences, 2019 A review of the main approaches developed for sea ice classification using satellite imagery is presented. Satellite data are the main and very often only information source for sea ice classification and charting in the remote arctic regions.
Natalia Zakhvatkina +2 more
doaj +3 more sources
Multiyear Arctic Sea Ice Classification Using QuikSCAT
IEEE Transactions on Geoscience and Remote Sensing, 2012 Long-term trends in Arctic sea ice are of particular interest in studies of global temperature, climate change, and industrial application. This paper analyzes intra-annual and interannual trends in Ku-band backscatter over first-year (FY) and multiyear (MY) sea ice to develop a new sea-ice-type classification method.
David Long
exaly +2 more sources
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
Proof of Concept for Sea Ice Stage of Development Classification Using Deep Learning
Remote Sensing, 2020 Accurate maps of ice concentration and ice type are needed to address increased interest in commercial marine transportation through the Arctic. RADARSAT-2 SAR imagery is the primary source of data used by expert ice analysts at the Canadian Ice Service (
Ryan Kruk +4 more
doaj +3 more sources
Earth and Space Science, 2021 NASA's Ice, Cloud, and Land Elevation Satellite‐2 (ICESat‐2) mission launched in September 2018 and is now providing high‐resolution surface elevation profiling across the entire globe, including the sea ice cover of the Arctic and Southern Oceans.
A. A. Petty +7 more
doaj +2 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
Multi-Featured Sea Ice Classification with SAR Image Based on Convolutional Neural Network
Remote Sensing, 2023 Sea ice is a significant factor in influencing environmental change on Earth. Monitoring sea ice is of major importance, and one of the main objectives of this monitoring is sea ice classification.
Hongyang Wan +7 more
doaj +1 more source
Remote Sensing, 2021 Remote sensing satellites have been broadly applied to sea ice monitoring. The substantial increase in satellite imagery provides a large amount of data support for deep learning methods in the sea ice classification field.
Wei Song +4 more
doaj +1 more source