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Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis

Bibliographic Data

ID3472445
AuthorsAnthony Lauricella, Anthony J Lauricella (University of Chicago, corresponding author), Joshua Cannon (0000-0002-7083-7821, University of Chicago), Scott Branting (University of Central Florida), Emily Hammer (0000-0002-7774-1988, University of Chicago)
Year2017
Volume91
Issue359
Pages1344-1355
Publication date2017-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAntiquity (JOURNAL)
Journal identifiersISSN: 0003-598X • E-ISSN: 1745-1744
PublisherAntiquity Publications (PUBLISHER)
DOI10.15184/aqy.2017.90
OpenAlexW2756282309
LanguageEN
Citations received22
References cited19

Archaeology · Cartography · Geography · Looting · Multispectral image · Principal component analysis · Remote sensing · Archaeological Research and Protection · Artificial Intelligence · Computer Science · Geochemistry and Geologic Mapping · Remote-Sensing Image Classification

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  • Temporal Analysis of Looting Activity in Tūwāneh (Southern Jordan)

    Open Access•Kamil Kopij, Paweł Ćwiąkała et al.•Journal of Field Archaeology•2024

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  • The (W)Hole Picture

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  • Remote assessments of the archaeological heritage situation in Afghanistan

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Unique citing works22
Citations per year2,44
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 21

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