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Hybrid Networks Enable Precise Glacier Calving Front Segmentation For Sea Level Impact Analysis
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Hybrid Networks Enable Precise Glacier Calving Front Segmentation For Sea Level Impact Analysis
Researchers developed a new image analysis technique, combining the strengths of convolutional neural networks and transformers, to more accurately map glacier boundaries and track changes in ice fronts from radar imagery, improving monitoring of ice loss and sea level rise.
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