Research on the identification and evaluation method of the actual state of the Beijing Masonry Great Wall

Research on the identification and evaluation method of the actual state of the Beijing Masonry Great Wall | 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 Article Research on the identification and evaluation method of the actual state of the Beijing Masonry Great Wall Fei Liu, Zhitong Wang, Zeyu Zhang, Lei Tang, Yuyang Tang, Yanlin Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6684376/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Feb, 2026 Read the published version in npj Heritage Science → Version 1 posted 9 You are reading this latest preprint version Abstract Due to factors such as natural erosion and human interference, the Chinese masonry Great Wall faces challenges in structural stability. In order to solve the problem of low efficiency of manual inspection and lack of evaluation indicators, a multi-source heterogeneous dataset covering more than 500 kilometers of the Great Wall in Beijing was first constructed, and the MEP-Deep disease detection model was proposed. The accuracy of the model on the ISPRS Potsdam dataset and the self-built Great Wall dataset reached 86.37% and 83.51%, respectively, which was 0.6% and 0.77% higher than the original model. Secondly, a quantitative evaluation method for the preservation status of the Great Wall integrating multi-dimensional features was proposed, and a weighted scoring model was constructed using the analytic hierarchy process (AHP). The feasibility of the method was verified experimentally. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 27 Feb, 2026 Read the published version in npj Heritage Science → Version 1 posted Editorial decision: Revision requested 21 Sep, 2025 Reviews received at journal 31 Aug, 2025 Reviews received at journal 25 Aug, 2025 Reviewers agreed at journal 25 Aug, 2025 Reviewers agreed at journal 22 Aug, 2025 Reviewers invited by journal 10 Aug, 2025 Editor assigned by journal 17 Jul, 2025 Submission checks completed at journal 11 Jul, 2025 First submitted to journal 11 Jul, 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-6684376","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":501412929,"identity":"1db874d6-4977-406d-aa6b-1097d5282fe8","order_by":0,"name":"Fei Liu","email":"","orcid":"","institution":"Beijing University of Civil Engineering and Architecture","correspondingAuthor":false,"prefix":"","firstName":"Fei","middleName":"","lastName":"Liu","suffix":""},{"id":501412930,"identity":"1c926dc3-2e78-4397-bb35-3b9d77f15746","order_by":1,"name":"Zhitong 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