极地研究2024，Vol.36Issue(2)：169-182,14.DOI:10.13679/j.jdyj.20220444
基于哨兵1号影像浮冰形状特征的北极内尔斯海峡海冰运动信息提取方法
A sea ice motion retrieval method using floe shape features based on Senti-nel-1 imagery in the Arctic Nares Strait
摘要
Abstract
The Nares Strait is one of the most important passages for sea ice outflow from the Arctic Ocean.It plays a crucial role in the formation of deep water in the Baffin Bay and Labrador Sea and in the Arctic sea ice mass balance.Because of the narrow entrance and low sea ice concentration,it is difficult to retrieve valid sea ice motion information from satellite imagery using existing sea ice motion tracking algorithms.Therefore,there are limited sea ice motion data for this region.In this study,a sea ice motion retrieval algo-rithm based on ice floe shape features is proposed.It consists of three main steps:image segmentation,ice floe extraction and ice floe matching.Sea ice motion data in the Nares Strait from 20 February to 27 Febru-ary 2019 were retrieved using the proposed algorithm,and were compared with manually produced valida-tion data to evaluate the accuracy of the ice floe extraction and matching steps.Results show that the mean error of the ice floe shape features ranges from 4.3%to 8.48%,the overall accuracy of the ice floe motion vectors retrieved by the algorithm is 84%,and the root mean square error of the matched centroid and veloc-ity is 0.171 km and 6.313 cm·s-1,respectively.Compared with existing feature tracking algorithms,includ-ing SIFT,ORB,and AKAZE,sea ice motion coverage and accuracy derived from the proposed algorithm are higher by 27.7%and 39%,respectively.The proposed algorithm is not only an effective way to retrieve sea ice motion data for the Nares Strait,but provides some reference for sea ice motion retrieval in other regions(e.g.,marginal ice zone).关键词
内尔斯海峡/海冰运动/哨兵1号/影像分割/浮冰匹配Key words
Nares Strait/sea ice motion/Sentinel-1/image segmentation/ice floe matching引用本文复制引用
杨帆,刘婷婷,雷瑞波..基于哨兵1号影像浮冰形状特征的北极内尔斯海峡海冰运动信息提取方法[J].极地研究,2024,36(2):169-182,14.基金项目
国家重点研发计划(2021YFC2803301)、自然资源部极地科学重点实验室开放基金(KP202004)、中央高校基本科研业务费专项资金(2042024kf0037)和中央高校自主科研项目(2042022dx0001)资助 （2021YFC2803301）
