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Automated classification of petroglyphs

Digital Applications in Archaeology and Cultural Heritage, 2015
Abstract In this paper, we address the problem of automated petroglyph classification in a large real-world dataset. The dataset which contains more than 1000 petroglyphs is based on tracings from the UNESCO world heritage site Valcamonica, Italy and is expert-classified into two parallel typologies.
Markus Seidl   +2 more
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Petroglyphs of anjirаta

2023
The Surkhandarya Oasis is located in the extreme south of Uzbekistan and is one of its oldest historical and cultural regions. Its natural boundaries in the west and east are the Kugitang and Babatag Mountain Ranges, in the north it is bordered by the Hissar Range and its numerous spurs, in the south by the Amu Darya River.
Suleymanov, R., Oynazarov, H.
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A Tool for the Construction of Synthetic Petroglyphs

Archaeologists are often tasked with the identification and extractions of glyphs and petroglyphs from surfaces. Since this task is usually performed by hand, it is time consuming and prone to human errors. Therefore, in the years several automatic techniques have been developed to solve this problem.
Alessandro Buccini, Elisa Crabu
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The Petroglyphs of Shenah

Arabian Archaeology and Epigraphy, 1999
Shenah is an area of high biological and geological diversity, supporting an active and developing population. Its resources include extensive archaeological sites, of which the petroglyphs, beehive tombs and other archaeological sites deserve more detailed study to determine their importance.
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Petroglyphs

2021
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