An Improved RF-PNN Based Annotation Model With Texture and Edge Based Feature Descriptors

An Improved RF-PNN Based Annotation Model With Texture and Edge Based Feature Descriptors | 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 An Improved RF-PNN Based Annotation Model With Texture and Edge Based Feature Descriptors Joshua Bapu J, Jemi Florinabel D This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-924268/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract High informative feature descriptors always improves the classification process. In order to classify the earth surface, it is essential to annotate satellite images using itshigh informative feature descriptors. In this proposed work, an annotation framework has been implemented to improve the image discrimination by extracting texture and edge based feature vectors. So the combination of these features subsequently fed into the Random Forest based Probability Neural Network (RF-PNN) classifier to make an annotation model. The experimental analysis with comparisons shows that the proposed annotation model well performed with earlier works and comparative results of benchmark datasets of AID dataset, UC-Merced Land-Use dataset and WHU-RS19 datasets have been documented with analysis. Electronic Materials and Devices Cell Communication and Signaling Annotation model feature descriptors RF-PNN texture based feature descriptors edge based feature descriptors adaptive median filter Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-924268","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":54403099,"identity":"a1a6cddf-4a15-4b16-9783-4013ec39c948","order_by":0,"name":"Joshua Bapu J","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIiWNgGAWjYBACxgYGNiB1gMGAgfkAkCEhQ4oWtgSQFh5iLIJp4TEA8QhrYW5vf/aYp+aOvLlEzudXN2oseBjYDx/dgNdhPWfMjXmOPTPcOSN3m3XOMaDDeNLSbuDVMiOHTZqH7TDjhhu524xz2IBaJHjMCGhJfybN8++w/YYbOc+Mc/4RpSXBTJq37XAiUAvz49w2YrT0nDGTnNv3LHlnzzMz5tw+CR42Qn4xBIaYxJtvd2y3syc//pzzrU6On/3wMfxaGhBsNgkwiU85CMgjsZk/EFI9CkbBKBgFIxMAAH+0SlvNILnUAAAAAElFTkSuQmCC","orcid":"","institution":"Dr.Sivanthi Aditanar College of Engineering","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Joshua","middleName":"Bapu","lastName":"J","suffix":""},{"id":54403100,"identity":"5171371d-c522-47f1-815c-03a38a8471bf","order_by":1,"name":"Jemi Florinabel D","email":"","orcid":"","institution":"Dr.Sivanthi Aditanar College of Engineering","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jemi","middleName":"Florinabel","lastName":"D","suffix":""}],"badges":[],"createdAt":"2021-09-21 11:29:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-924268/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-924268/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":14071473,"identity":"85654144-783a-42dd-81d6-f7f59a227249","added_by":"auto","created_at":"2021-09-28 16:18:37","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1493274,"visible":true,"origin":"","legend":"","description":"","filename":"JOSHUABAPUUpdated.pdf","url":"https://assets-eu.researchsquare.com/files/rs-924268/v1_covered.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eAn Improved RF-PNN Based Annotation Model With Texture and Edge Based Feature Descriptors\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-924268/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Annotation model, feature descriptors, RF-PNN, texture based feature descriptors, edge based feature descriptors, adaptive median filter","lastPublishedDoi":"10.21203/rs.3.rs-924268/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-924268/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eHigh informative feature descriptors always improves the classification process. 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