Scholarlink

Abstract <p>The results of existing publicly available automatic ice lead identification algorithms have been verified using expert identification of ice cover leads in the Laptev and East Siberian seas based on optical satellite imagery. It has been found that none of these algorithms can be used to obtain data that allows for calculating lead characteristics such as orientation, length, and spatial density. For automatic ice lead identification, it has been proposed to develop an algorithm using a convolutional neural network trained on data from the AARI electronic archive of sea ice leads.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Problem of Automatic Identification of Sea Ice Cover Leads Using Satellite Images

  • 期刊论文

  • 发表日期：

    2025年12月1日

查看全文
  • L. N. Dyment,
  • A. A. Ershova,
  • E. G. Bojkaya,
  • K. G. Kortikova

摘要

Abstract

The results of existing publicly available automatic ice lead identification algorithms have been verified using expert identification of ice cover leads in the Laptev and East Siberian seas based on optical satellite imagery. It has been found that none of these algorithms can be used to obtain data that allows for calculating lead characteristics such as orientation, length, and spatial density. For automatic ice lead identification, it has been proposed to develop an algorithm using a convolutional neural network trained on data from the AARI electronic archive of sea ice leads.