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基于变分水平集方法的海冰信息自动提取
引用本文:张永梅,阮成卿,刘爱超,钟山,吴玲娟.基于变分水平集方法的海冰信息自动提取[J].海洋科学,2022,46(7):1-10.
作者姓名:张永梅  阮成卿  刘爱超  钟山  吴玲娟
作者单位:国家海洋局北海预报中心, 山东 青岛 266061;山东省海洋生态环境与防灾减灾重点实验室, 山东 青岛 266061
基金项目:国家重点研发计划项目(2018YFC1407200);山东省自然科学基金重大基础研究项目(ZR2019ZD12)
摘    要:针对目前海冰信息解译时对海冰外缘线及面积信息提取不精确、业务化应用不强问题,提出一种基于分裂Bregman算法的海冰外缘线自动提取方法,并通过遥感影像预处理、算法程序化等工作步骤,将该算法应用到业务化海冰信息解译工作中。方法:分别选取五景中、高空间分辨率的可见光卫星遥感影像,将影像上待提取海冰区域首先进行不规则图像裁剪、图像增强等预处理工作,然后基于变分水平集及快速分裂Bregman投影方法进行了海冰外缘线信息的提取,并对提取出的海冰面积进行量化,最后与传统人工提取海冰信息进行了比较。实验结果表明,基于变分水平集及其快速分裂Bregman算法提取的海冰信息,具有提取的海冰边缘精确、自动化程度高、提取结果稳定可靠等优点。

关 键 词:变分水平集方法  分裂Bregman算法  海冰外缘线  自动提取
收稿时间:2021/8/9 0:00:00
修稿时间:2021/10/22 0:00:00

Automatic extraction of sea ice information based on variational level set method
ZHANG Yong-mei,RUAN Cheng-qing,LIU Ai-chao,ZHONG Shan,WU Ling-juan.Automatic extraction of sea ice information based on variational level set method[J].Marine Sciences,2022,46(7):1-10.
Authors:ZHANG Yong-mei  RUAN Cheng-qing  LIU Ai-chao  ZHONG Shan  WU Ling-juan
Institution:North China Sea Marine Forecasting Center of State Oceanic Administration, Qingdao 266061, China;Shandong Provincial Laboratory of Marine Ecology and Environment & Disaster Prevention and Mitigation, Qingdao 266061, China
Abstract:To solve the problems of inaccurate extraction of outer edge and area information of sea ice and weak business application in the current sea ice information interpretation in this study, an automatic extraction method of sea ice outer edge based on the split Bregman algorithm is proposed. The algorithm is applied to the operational sea ice information interpretation work through remote sensing image preprocessing and algorithm programming. Five visible satellite remote sensing images with medium and high spatial resolutions were selected. First, irregular image clipping, image enhancement, and other preprocessing work are conducted for the sea ice region to be extracted from the image. Next, based on the variational level set and fast split Bregman projection methods, the information of sea ice outer edge line is extracted, and the extracted sea ice area is quantified and compared with the traditional manual extraction of sea ice information. The experimental results indicate that the sea ice information extracted based on the variational level set method and the fast split Bregman algorithm has the advantages of accurate sea ice edge extraction, a high degree of automation, and stable and reliable extraction results.
Keywords:variational level set method  split Bregman algorithm  ice edge  automatic extraction
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