Automated methods for image detection of cultural heritage: Overviews and perspectives.
Remote sensing data covering large geographical areas can be easily accessed and are being acquired with greater frequency. The massive volume of data requires an automated image analysis system. By taking advantage of the increasing availability of data using computer vision, we can design specific...
| Publicado en: | Archaeological Prospection Vol. 30; no. 2; pp. 153 - 170 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=164135814&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 164135814 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10752196 58D jtl: Archaeological Prospection issn: 10752196 maglogo: Y pubinfo: dt: Apr2023 vid: 30 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 164135814 10.1002/arp.1883 ppf: 153 ppct: 17 formats: tig: atl: Automated methods for image detection of cultural heritage: Overviews and perspectives. aug: au: Câmara, Ariele de Almeida, Ana Caçador, David Oliveira, João affil: Instituto Universitário de Lisboa (ISCTE‐IUL), Lisboa, Portugal Instituto Universitário de Lisboa (ISCTE‐IUL), Centro de Investigação em Ciências da Informação, Tecnologias e Arquitetura, Lisboa, Portugal Centre for Informatics and Systems of the University of Coimbra (CISUC), Coimbra, Portugal Instituto de Telecomunicações, Lisboa, Portugal su: Cultural property Remote sensing Image analysis Object recognition (Computer vision) Imaging systems Archaeological surveying Archaeology sug: subj: Cultural property Remote sensing Image analysis Object recognition (Computer vision) Imaging systems Archaeological surveying Archaeology keyword: archaeological monuments automated detection computer vision image analysis remote sensing ab: Remote sensing data covering large geographical areas can be easily accessed and are being acquired with greater frequency. The massive volume of data requires an automated image analysis system. By taking advantage of the increasing availability of data using computer vision, we can design specific systems to automate data analysis and detection of archaeological objects. In the past decade, there has been a rise in the use of automated methods to assist in the identification of archaeological sites in remote sensing imagery. These applications offer an important contribution to non‐intrusive archaeological exploration, helping to reduce the traditional human workload and time by signalling areas with a higher probability of presenting archaeological sites for exploration. This survey describes the state of the art of existing automated image analysis methods in archaeology and highlights the improvements thus achieved in the detection of archaeological monuments and areas of interest in landscape‐scale satellite and aerial imagery. It also presents a discussion of the benefits and limitations of automatic detection of archaeological structures, proposing new approaches and possibilities. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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