Optimal Condition Evaluation for WNN Based Speckle Filtering Algorithms in SAR Image Denoising

Optimal Condition Evaluation for WNN Based Speckle Filtering Algorithms in SAR Image Denoising | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Optimal Condition Evaluation for WNN Based Speckle Filtering Algorithms in SAR Image Denoising Preethisree G, Vivekanand V, Deepak Mishra, Sethunadh R This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6115919/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Oct, 2025 Read the published version in Sensing and Imaging → Version 1 posted 4 You are reading this latest preprint version Abstract This paper investigates the application of the weighted nuclear norm minimization method for despeckling synthetic aperture radar images, for various input configurations and acquisition scenarios. The approach, originally designed for additive white Gaussian noise, was adapted to handle SAR-specific multiplicative noise using a homomorphic transformation. Speckle filtering was performed in the logarithmic domain, followed by exponential reconstruction to extract the image. Various similarity measures were used to evaluate the performance. Results reveal that despeckling log-transformed images showed superior performance compared to other evaluated methods, achieving better visual quality and structural preservation. While different similarity measures applied to log-transformed images provided comparable results, the WNNM method consistently demonstrated its ability to enhance image quality and objective metrics, and its effectiveness strongly dependent on identifying similar segments in noisy images. The result of the evaluation are presented with extensive simulations results on various test images and SAR data. Full Text Additional Declarations No competing interests reported. Supplementary Files LATEXV5.zip Cite Share Download PDF Status: Published Journal Publication published 09 Oct, 2025 Read the published version in Sensing and Imaging → Version 1 posted Editorial decision: Revision requested 10 Jun, 2025 Editor assigned by journal 03 Mar, 2025 Submission checks completed at journal 03 Mar, 2025 First submitted to journal 26 Feb, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6115919","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":423261073,"identity":"5bc58199-13fd-466e-9ff5-88a4dba777f0","order_by":0,"name":"Preethisree G","email":"","orcid":"","institution":"Liquid Propulsion System Centre","correspondingAuthor":false,"prefix":"","firstName":"Preethisree","middleName":"","lastName":"G","suffix":""},{"id":423261074,"identity":"cb85b22e-509f-446c-9a2b-fc3204807248","order_by":1,"name":"Vivekanand V","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIiWNgGAWjYJCCAwwMCWCGxAeEoARxWiRnEKuFAaZFmocYRxkc4DE8zFORJm/Ofvbgbdu2Onv+BvaLj3kYLPLwaDE4zHMmx3BnT16ydW7b4cQZB3iKjXkYJIpxaZFsYEs4OLOtgnHDgRwz6ZwzBxIMGHjSgJ6SSGzAq+Vfhf2G82/MpC3O1NkT1MLPwHzgwMeGnMQNN4C2MFQwM25gYD8GDG0CWj4cS0vecOONsWVPBdAvh3mYDT4Y4NbCxsDY/CGhJtl2w/kcwxs/DIAh1t7+8EFCRR1OLQzyD9BFmHkMgCGJSz12wI5hyigYBaNgFIxsAABTYFRO5l38UgAAAABJRU5ErkJggg==","orcid":"","institution":"Vikram Sarabhai Space Centre","correspondingAuthor":true,"prefix":"","firstName":"Vivekanand","middleName":"","lastName":"V","suffix":""},{"id":423261076,"identity":"0f8b0e66-09c0-4ab3-b20c-1c4ce54161d1","order_by":2,"name":"Deepak Mishra","email":"","orcid":"","institution":"Indian Institute of Space Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Deepak","middleName":"","lastName":"Mishra","suffix":""},{"id":423261077,"identity":"e921fb5f-11dc-421d-aa1a-f88ff996aad7","order_by":3,"name":"Sethunadh R","email":"","orcid":"","institution":"Vikram Sarabhai Space Centre","correspondingAuthor":false,"prefix":"","firstName":"Sethunadh","middleName":"","lastName":"R","suffix":""}],"badges":[],"createdAt":"2025-02-26 20:23:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6115919/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6115919/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11220-025-00647-w","type":"published","date":"2025-10-09T15:58:23+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":93421302,"identity":"1775b94a-7ad9-42ff-82ea-53fdc7c7e076","added_by":"auto","created_at":"2025-10-13 16:10:54","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":9877492,"visible":true,"origin":"","legend":"","description":"","filename":"AParametricAnalysisV406022025.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6115919/v1_covered_d2e850af-12d5-4dd7-8fa3-c4b8f0ea81ea.pdf"},{"id":77721096,"identity":"8952b55f-3039-4f82-9038-75c13ae28a0d","added_by":"auto","created_at":"2025-03-04 16:21:59","extension":"zip","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":19224691,"visible":true,"origin":"","legend":"","description":"","filename":"LATEXV5.zip","url":"https://assets-eu.researchsquare.com/files/rs-6115919/v1/283315969a80647f871d0a8b.zip"}],"financialInterests":"No competing interests reported.","formattedTitle":"Optimal Condition Evaluation for WNN Based Speckle Filtering Algorithms in SAR Image Denoising","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"sensing-and-imaging","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ssta","sideBox":"Learn more about [Sensing and Imaging](http://link.springer.com/journal/11220)","snPcode":"11220","submissionUrl":"https://submission.nature.com/new-submission/11220/3","title":"Sensing and Imaging","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-6115919/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6115919/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper investigates the application of the weighted nuclear norm minimization method for despeckling synthetic aperture radar images, for various input configurations and acquisition scenarios. 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