REMOTE RESEARCH OF ARCHAEOLOGICAL SITES OF THE SOUTHERN TRANS-URALS USING GEOPHYSICS AND MACHINE LEARNING

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The so-called “Country of Cities” discovered in the second half of the 20th century in the Southern Trans-Urals — more than two dozen fortified settlements of the Middle Bronze Age belonging to the Sintashta culture (about 3–2 thousand years BC) is a unique object of interdisciplinary research. In this paper the study of the architecture of these settlements is carried out by interpreting aerial photographs, space photographs and geophysical methods: magnetometry and areal electromagnetic profiling with the AEMP-14 induction system. The construction of orthophotoplans and a digital relief model is made based on UAV survey data and ground surveys using GNSS and tacheometry. Fundamentally new opportunities are provided by applying modern methods of detection, classification and segmentation of objects based on the use of convolutional neural networks to the obtained data. This paper presents and discusses the results of applying neural networks based on graphs and transformer architecture to the problem of 3d archaeological sites segmentation and methods of their detection based on residual neural networks and networks with transformer architecture.

作者简介

A. Vokhmintcev

Chelybinsk State University

ORCID iD: 0000-0002-2402-2963

A. Melnikov

Yugra Research Institute of Information Technologies; Yugra State University

ORCID iD: 0000-0002-1073-7108

N. Batanina

Chelybinsk State University

ORCID iD: 0000-0002-2555-6094
SPIN 代码: 6866-7691

E. Kupriyanova

Chelybinsk State University

ORCID iD: 0000-0001-8842-9976
SPIN 代码: 9089-4614

L. Muravyev

Institute of Geophysics UB of RAS

Email: mlev@mlev.ru
ORCID iD: 0000-0003-4423-0230
SPIN 代码: 9869-2301
Scopus 作者 ID: 57200323443
Researcher ID: P-6854-2015
candidate of technical sciences

M. Romanov

Chelyabinsk state university

ORCID iD: 0009-0009-2209-4187

参考

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  12. Vokhmintcev A., Khristodulo O., Melnikov A., et al. Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites // Analysis of Images, Social Networks and Texts. — Springer Nature Switzerland, 2024a. — P. 294–308. — doi: 10.1007/978-3-031-54534-4_21.
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