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Despeckling algorithm for reducing speckle noise in images generated from active sensors

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dc.contributor.authorChoi, Hyunho-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2021-07-30T05:00:31Z-
dc.date.available2021-07-30T05:00:31Z-
dc.date.created2021-05-12-
dc.date.issued2020-08-
dc.identifier.issn0013-5194-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2576-
dc.description.abstractSynthetic aperture radar (SAR) images can be utilised in various fields because they are not affected by the time of day or weather conditions. However, in the process of employing active sensors to obtain a SAR image, speckle noise is generated in the image. Speckle noise degrades the ability of computer vision to observe the Earth. To improve imaging performance, an algorithm for removing speckle noise is necessary. For this purpose, the authors propose a speckle-noise removal algorithm. A speckle reducing anisotropic diffusion filter is employed as a pre-processing filter, in which multiplicative speckle noise can be converted into additive noise using a logarithmic transformation. To remove the additive noise, they use a weighted guided image filter. Experimental results indicate that the proposed method exhibits improved speckle noise suppression and edge preservation results compared with those of existing methods.-
dc.language영어-
dc.language.isoen-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.titleDespeckling algorithm for reducing speckle noise in images generated from active sensors-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.doi10.1049/el.2020.0614-
dc.identifier.scopusid2-s2.0-85090121134-
dc.identifier.wosid000565251000010-
dc.identifier.bibliographicCitationELECTRONICS LETTERS, v.56, no.17, pp.876 - 878-
dc.relation.isPartOfELECTRONICS LETTERS-
dc.citation.titleELECTRONICS LETTERS-
dc.citation.volume56-
dc.citation.number17-
dc.citation.startPage876-
dc.citation.endPage878-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusAdditives-
dc.subject.keywordPlusImage denoising-
dc.subject.keywordPlusImage segmentation-
dc.subject.keywordPlusRadar imaging-
dc.subject.keywordPlusSpeckle-
dc.subject.keywordPlusSynthetic aperture radar-
dc.subject.keywordPlusAdditive noise-
dc.subject.keywordPlusEdge preservations-
dc.subject.keywordPlusImaging performance-
dc.subject.keywordPlusLogarithmic transformations-
dc.subject.keywordPlusMultiplicative speckle noise-
dc.subject.keywordPlusPre-processing-
dc.subject.keywordPlusSpeckle noise removal-
dc.subject.keywordPlusSpeckle reducing anisotropic diffusion-
dc.subject.keywordPlusSynthetic aperture radar (SAR) images-
dc.subject.keywordAuthorsynthetic aperture radar-
dc.subject.keywordAuthorspeckle-
dc.subject.keywordAuthorradar imaging-
dc.subject.keywordAuthorimage filtering-
dc.subject.keywordAuthorimage denoising-
dc.subject.keywordAuthorgeophysical image processing-
dc.subject.keywordAuthoredge detection-
dc.subject.keywordAuthorsynthetic aperture radar images-
dc.subject.keywordAuthoractive sensors-
dc.subject.keywordAuthorSAR image-
dc.subject.keywordAuthorimaging performance improvement-
dc.subject.keywordAuthorspeckle-noise removal algorithm-
dc.subject.keywordAuthormultiplicative speckle noise-
dc.subject.keywordAuthoradditive noise-
dc.subject.keywordAuthorweighted guided image filter-
dc.subject.keywordAuthorspeckle noise suppression-
dc.subject.keywordAuthoredge preservation results-
dc.subject.keywordAuthordespeckling algorithm-
dc.subject.keywordAuthorspeckle noise reduction-
dc.subject.keywordAuthorSAR images-
dc.subject.keywordAuthorcomputer vision-
dc.subject.keywordAuthorspeckle reducing anisotropic diffusion filter-
dc.subject.keywordAuthorpreprocessing filter-
dc.subject.keywordAuthorlogarithmic transformation-
dc.identifier.urlhttps://ietresearch.onlinelibrary.wiley.com/doi/10.1049/el.2020.0614-
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