Automatic registration of electro-optical and SAR images

G. Lampropoulos, J. Chan, J. Secker, Y. Li, A. Jouan
{"title":"Automatic registration of electro-optical and SAR images","authors":"G. Lampropoulos, J. Chan, J. Secker, Y. Li, A. Jouan","doi":"10.1109/WARSD.2003.1295196","DOIUrl":null,"url":null,"abstract":"Presents a new and robust method to perform multisensor image registration from dissimilar sources. It is a proof of concept demonstration. It is based on multiple transformations of two quite dissimilar images into new domains, where local or global similarities are extracted.","PeriodicalId":395735,"journal":{"name":"IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARSD.2003.1295196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Presents a new and robust method to perform multisensor image registration from dissimilar sources. It is a proof of concept demonstration. It is based on multiple transformations of two quite dissimilar images into new domains, where local or global similarities are extracted.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自动配准电光和SAR图像
提出了一种新的鲁棒的多传感器图像配准方法。这是一个概念验证演示。它是基于将两幅完全不同的图像多次变换到新的域中,在这些域中提取局部或全局相似性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A residual-based approach to classification of remote sensing images Operational segmentation and classification of SAR sea ice imagery The spectral similarity scale and its application to the classification of hyperspectral remote sensing data Further results on AMM for endmember induction Spatial/Spectral analysis of hyperspectral image data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1