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Remote Research System of Archaeological Sites Using Deep Learning. / Романов, Матвей Александрович; Вохминцев, Александр; Мельников, Андрей; Шицелов, Анатолий.

в: Pattern Recognition and Image Analysis, Том 34, № 3, 01.09.2024, стр. 574–582.

Результаты исследований: Прочие публикации в периодических изданиях › статья › учебная

Harvard

Романов, МА, Вохминцев, А, Мельников, А & Шицелов, А 2024, 'Remote Research System of Archaeological Sites Using Deep Learning' Pattern Recognition and Image Analysis, Том. 34, № 3, стр. 574–582. https://doi.org/10.1134/s105466182470038x

APA

Романов, М. А., Вохминцев, А., Мельников, А., & Шицелов, А. (2024). Remote Research System of Archaeological Sites Using Deep Learning. Pattern Recognition and Image Analysis, 34(3), 574–582. https://doi.org/10.1134/s105466182470038x

Vancouver

Романов МА, Вохминцев А, Мельников А, Шицелов А. Remote Research System of Archaeological Sites Using Deep Learning. Pattern Recognition and Image Analysis. 2024 Сент. 1;34(3):574–582. https://doi.org/10.1134/s105466182470038x

Author

Романов, Матвей Александрович ; Вохминцев, Александр ; Мельников, Андрей ; Шицелов, Анатолий. / Remote Research System of Archaeological Sites Using Deep Learning. в: Pattern Recognition and Image Analysis. 2024 ; Том 34, № 3. стр. 574–582.

BibTeX

@misc{4680769da52f4626a6bd12535f03c7f8,
title = "Remote Research System of Archaeological Sites Using Deep Learning",
abstract = "Abstract: This work is devoted to the problem of detecting and studying archaeological sites based on methods of machine learning, mapping, and geophysics. The article discusses the methodology for mapping and surveying archaeological objects in the form of 2D and 3D models, and proposes machine learning methods based on convolutional neural networks for the detection and classification of archaeological objects.",
keywords = "archaeological site, data classification, data segmentation, residual neural networks",
author = "Романов, {Матвей Александрович} and Александр Вохминцев and Андрей Мельников and Анатолий Шицелов",
year = "2024",
month = sep,
day = "1",
doi = "10.1134/s105466182470038x",
language = "English",
volume = "34",
pages = "574–582",
journal = "Pattern Recognition and Image Analysis",
issn = "1054-6618",
publisher = "Pleiades Publishing",
address = "Russian Federation",

}

RIS

TY - GEN

T1 - Remote Research System of Archaeological Sites Using Deep Learning

AU - Романов, Матвей Александрович

AU - Вохминцев, Александр

AU - Мельников, Андрей

AU - Шицелов, Анатолий

PY - 2024/9/1

Y1 - 2024/9/1

N2 - Abstract: This work is devoted to the problem of detecting and studying archaeological sites based on methods of machine learning, mapping, and geophysics. The article discusses the methodology for mapping and surveying archaeological objects in the form of 2D and 3D models, and proposes machine learning methods based on convolutional neural networks for the detection and classification of archaeological objects.

AB - Abstract: This work is devoted to the problem of detecting and studying archaeological sites based on methods of machine learning, mapping, and geophysics. The article discusses the methodology for mapping and surveying archaeological objects in the form of 2D and 3D models, and proposes machine learning methods based on convolutional neural networks for the detection and classification of archaeological objects.

KW - archaeological site

KW - data classification

KW - data segmentation

KW - residual neural networks

UR - https://www.mendeley.com/catalogue/4a40915e-15b4-3edd-8453-33e8f3177254/

U2 - 10.1134/s105466182470038x

DO - 10.1134/s105466182470038x

M3 - Article

VL - 34

SP - 574

EP - 582

JO - Pattern Recognition and Image Analysis

JF - Pattern Recognition and Image Analysis

SN - 1054-6618

PB - Pleiades Publishing

ER -

ID: 124143064