{"title":"Quantitative approach of speckle noise reduction on synthetic Aperture radar images","authors":"R. V. Geetha, S. Kalaivani","doi":"10.1109/ICCIC.2014.7238423","DOIUrl":null,"url":null,"abstract":"Over the past three to four decades the SAR-synthetic Aperture Radar imagery has become a beneficial and important application over the optical Satellite imagery, Because of its ability to operate in all-weather condition and capability of all time data acquisition; The main issue in this imaging technique is presence of grainy noise termed as `speckle', Which will affect the overall quality of image, hence it is highly required to use effective speckle reduction techniques to suppress speckle. Various filtering techniques are available to reduce the speckle noise and to enhance the quality of the image. The main objective of this paper is to present a quantitative approach of de-specking algorithm on SAR images with adequate mathematical parametric analysis.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2014.7238423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Over the past three to four decades the SAR-synthetic Aperture Radar imagery has become a beneficial and important application over the optical Satellite imagery, Because of its ability to operate in all-weather condition and capability of all time data acquisition; The main issue in this imaging technique is presence of grainy noise termed as `speckle', Which will affect the overall quality of image, hence it is highly required to use effective speckle reduction techniques to suppress speckle. Various filtering techniques are available to reduce the speckle noise and to enhance the quality of the image. The main objective of this paper is to present a quantitative approach of de-specking algorithm on SAR images with adequate mathematical parametric analysis.