Masking Method Based on Morphological Operations for InSAS

Pan Huang, Xiaojie Teng, Xuebo Zhang, Heping Zhong
{"title":"Masking Method Based on Morphological Operations for InSAS","authors":"Pan Huang, Xiaojie Teng, Xuebo Zhang, Heping Zhong","doi":"10.1109/IGARSS46834.2022.9884245","DOIUrl":null,"url":null,"abstract":"Image masking is an important step for interferometric synthetic aperture sonar (InSAS). The quality of mask will directly influence the accuracy of complex registration and phase unwrapping. In this paper, a novel masking method based on morphological operations for InSAS is proposed, which overcomes the shortcoming of the traditional masking methods that depend on complex registration. The experiment result of real data demonstrates the efficiency of the proposed method.","PeriodicalId":426003,"journal":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS46834.2022.9884245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Image masking is an important step for interferometric synthetic aperture sonar (InSAS). The quality of mask will directly influence the accuracy of complex registration and phase unwrapping. In this paper, a novel masking method based on morphological operations for InSAS is proposed, which overcomes the shortcoming of the traditional masking methods that depend on complex registration. The experiment result of real data demonstrates the efficiency of the proposed method.
基于形态学操作的InSAS掩蔽方法
图像掩蔽是干涉型合成孔径声呐(InSAS)的重要步骤。掩模的质量直接影响到复杂配准和相位展开的精度。本文提出了一种基于形态学运算的InSAS掩蔽方法,克服了传统掩蔽方法依赖复杂配准的缺点。实际数据的实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信