An Enhanced Noise Removal-based SAR Image Recognition Using DnCNN and Wavelet Transform

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dc.contributor.authorChoi, Y.
dc.contributor.authorKim, G.
dc.contributor.authorKim, B.
dc.contributor.authorKim, S.
dc.coverage.issue3cs
dc.coverage.volume34cs
dc.date.accessioned2025-07-24T12:38:40Z
dc.date.available2025-07-24T12:38:40Z
dc.date.issued2025-09cs
dc.description.abstractThis paper presents an enhanced method for noise removal and target detection in Synthetic Aperture Radar (SAR) images using a Denoising Convolutional Neural Network (DnCNN) combined with wavelet trans¬form. Unlike conventional method, the proposed frame¬work focuses on remove the Speckle Noise through residu¬al learning and wavelet transform. The DnCNN architecture, consisting of 29 layers, efficiently removes noise while preserving high-frequency image features. The integration of wavelet transform further enhances noise removal and feature preservation. Experimental results demonstrate that the recognition rate of the proposed method improves by about 94% compared to original method under 10 dB Speckle Noise conditions. This method outperforms conventional algorithm in SAR image pro¬cessing, making it highly suitable for applications in noisy environments.en
dc.formattextcs
dc.format.extent429-437cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2025 vol. 34, č. 3, s. 429-437. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2025.0429en
dc.identifier.issn1210-2512
dc.identifier.urihttps://hdl.handle.net/11012/255213
dc.language.isoencs
dc.publisherRadioengineering Societycs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2025/25_03_0429_0437.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectNavy SARen
dc.subjectnoiseen
dc.subjectConvolutional Neural Network (CNN)en
dc.subjectDenoising Convolutional Neural Network (DnCNN)en
dc.subjectwavelet transformen
dc.titleAn Enhanced Noise Removal-based SAR Image Recognition Using DnCNN and Wavelet Transformen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta elektrotechniky a komunikačních technologiícs
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