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Analysis reveals algorithms fail to accurately identify leads in sea ice from satellite images, suggesting a new detection method.
Based on expert detection of leads in the ice cover of the Laptev and East Siberian seas on optical satellite images, we have made verification of the freely available results of existing algorithms for automatic identification of sea ice leads. It is found that none of them can be used to provide data that allows calculating such characteristics of leads as orientation, length and spatial density. We propose to develop an algorithm for automatic detection of leads using a convolutional neural network trained on data from the AARI electronic archive of sea ice leads.
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L. N. Dyment (2025) studied this question.
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