Mapping of visible to IR data for scene matching

M. A. Chaudhry, A. Baig, R. Nawaz
{"title":"Mapping of visible to IR data for scene matching","authors":"M. A. Chaudhry, A. Baig, R. Nawaz","doi":"10.1109/IBCAST.2012.6177526","DOIUrl":null,"url":null,"abstract":"Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.","PeriodicalId":251584,"journal":{"name":"Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBCAST.2012.6177526","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

Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.
映射可见到IR数据的场景匹配
由于多时间和多模态的图像采集,场景匹配成为一个具有挑战性的问题。EO (Electro-optical)和IR (infrared)图像之间没有直接的线性关系,需要进行匹配。本文提出了一种利用灰度分布推导出的变换函数将EO数据映射到IR数据的统计方法。由于所提出的技术是统计性的,并且处理多模态数据,因此MI指数(互信息)及其变体在这种情况下是更合适的相似性度量。因此,我们使用互信息作为两个图像之间统计依赖性的度量。结果表明,该技术在可见光到红外光谱的映射中是有效的。
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:481959085
Book学术官方微信