Towards Reliable Sea Ice Drift Estimation in the Arctic Deep Learning Optical Flow on RADARSAT-2
PositiveArtificial Intelligence
A new study highlights the importance of accurately estimating sea ice drift in the Arctic, which is vital for navigation, climate research, and forecasting. The research explores the use of optical flow, a computer vision technique, to improve the estimation of ice movement using satellite SAR imagery. This advancement could enhance our understanding of Arctic conditions and support better decision-making in related fields.
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