{"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}
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.