Multispectral Remote Sensing Image Restoration Based on Fuzzy Genetic Algorithm

T. Zhang, Xiaohui Luo, Song-rong Wu
{"title":"Multispectral Remote Sensing Image Restoration Based on Fuzzy Genetic Algorithm","authors":"T. Zhang, Xiaohui Luo, Song-rong Wu","doi":"10.1109/ICECE.2010.330","DOIUrl":null,"url":null,"abstract":"The accuracy of earth observation can be effected by the degree of the retrograde remote sensing image. The conventional image restoration operations, the complexity of the image is not considered, potentially good fitness individuals are often discarded by deterministic evaluation function. To solve these problems, fuzzy genetic algorithm (FGA) is proposed on the base of genetic algorithm. Uncertainty problems can be solved in the process of image processing by constructing fuzzy characteristic matrix and fuzzy fitness function, and using fuzzy genetic optimization method. Experimental results show that the better results for remote sensing image restoration can be gotten.","PeriodicalId":6419,"journal":{"name":"2010 International Conference on Electrical and Control Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electrical and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECE.2010.330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The accuracy of earth observation can be effected by the degree of the retrograde remote sensing image. The conventional image restoration operations, the complexity of the image is not considered, potentially good fitness individuals are often discarded by deterministic evaluation function. To solve these problems, fuzzy genetic algorithm (FGA) is proposed on the base of genetic algorithm. Uncertainty problems can be solved in the process of image processing by constructing fuzzy characteristic matrix and fuzzy fitness function, and using fuzzy genetic optimization method. Experimental results show that the better results for remote sensing image restoration can be gotten.
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
基于模糊遗传算法的多光谱遥感图像恢复
遥感影像的逆行程度直接影响对地观测的精度。在传统的图像恢复操作中,由于没有考虑图像的复杂性,潜在的良好适应度个体往往被确定性评价函数所丢弃。针对这些问题,在遗传算法的基础上提出了模糊遗传算法(FGA)。通过构造模糊特征矩阵和模糊适应度函数,采用模糊遗传优化方法解决图像处理过程中的不确定性问题。实验结果表明,该方法能获得较好的遥感图像恢复效果。
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
Research on Reducing the Power Loss of Lightning Shield Line on Lightning Protection System of Photovoltaic Grid-Connected Power The Design of a Non-energy-Consuming Balance System for Lithium-ion Batteries Research on Motion of Specimen of Ultrasonic Feeding Device Path Analysis on Customer Switching Behavior of Cyber Showcase Shopping: Empirical Research of Cyber Bookstore The Foldover-free Condition of Locally Constrained Image Warping
×
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