基于离散小波变换的SAR图像去噪

S. Roomi, D. Kalaiyarasi, N.Kasturi Rangan
{"title":"基于离散小波变换的SAR图像去噪","authors":"S. Roomi, D. Kalaiyarasi, N.Kasturi Rangan","doi":"10.1109/WICT.2011.6141275","DOIUrl":null,"url":null,"abstract":"Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. To preserve the sharp features and details of the SAR image effectively when despeckling, a new method of speckle reduction in wavelet domain has been presented. In this proposed method ‘symlet’ wavelet is used for despeckling process. This proposed algorithm uses new improved thresholding and polynomial soft thresholding function to threshold the non-edge component present in the corrupted image. The proposed work has been simulated using Matlab 7.0 and the experimental results demonstrate that the new method shows better result compared with various other despeckling techniques.","PeriodicalId":178645,"journal":{"name":"2011 World Congress on Information and Communication Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Discrete wavelet transform based despeckling for SAR images\",\"authors\":\"S. Roomi, D. Kalaiyarasi, N.Kasturi Rangan\",\"doi\":\"10.1109/WICT.2011.6141275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. To preserve the sharp features and details of the SAR image effectively when despeckling, a new method of speckle reduction in wavelet domain has been presented. In this proposed method ‘symlet’ wavelet is used for despeckling process. This proposed algorithm uses new improved thresholding and polynomial soft thresholding function to threshold the non-edge component present in the corrupted image. The proposed work has been simulated using Matlab 7.0 and the experimental results demonstrate that the new method shows better result compared with various other despeckling techniques.\",\"PeriodicalId\":178645,\"journal\":{\"name\":\"2011 World Congress on Information and Communication Technologies\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 World Congress on Information and Communication Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WICT.2011.6141275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 World Congress on Information and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WICT.2011.6141275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

由于散射现象的相干性,合成孔径雷达(SAR)图像固有地受到乘性散斑噪声的影响。为了在去斑时有效地保留SAR图像的鲜明特征和细节,提出了一种新的小波域去斑方法。在该方法中,采用“符号”小波进行去斑处理。该算法采用改进的阈值法和多项式软阈值法对图像中的非边缘成分进行阈值处理。利用Matlab 7.0对所提出的工作进行了仿真,实验结果表明,与其他各种去斑技术相比,新方法具有更好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrete wavelet transform based despeckling for SAR images
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. To preserve the sharp features and details of the SAR image effectively when despeckling, a new method of speckle reduction in wavelet domain has been presented. In this proposed method ‘symlet’ wavelet is used for despeckling process. This proposed algorithm uses new improved thresholding and polynomial soft thresholding function to threshold the non-edge component present in the corrupted image. The proposed work has been simulated using Matlab 7.0 and the experimental results demonstrate that the new method shows better result compared with various other despeckling techniques.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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