Abstract

This article discusses the use of different algorithms for analyzing data obtained by magnetic measurements in archaeological excavations. The aim of this work is the automatic detection of possible anomalies in data that may indicate the presence of archaeological sites. The article discusses two kinds of anomalies – useful (caused by the presence of archaeological sites) and spot anomalies (caused by the presence of various metal debris). Spot anomalies create local noise that interfere with the determination of the spatial anomalies caused by the remains of ancient buildings, such as walls of houses, wells, dugouts, etc. The paper proposes algorithms that allow to exclude from the data spot anomalies and to concentrate on identifying spatial anomalies. Also discusses innovative methods that allow to determine the contours of the spatial anomalies (archaeological sites). The algorithms were tested on many real data sets, obtained during excavations in the Crimea, and showed good results.

Original languageEnglish
Pages (from-to)393-400
Number of pages8
JournalInternational Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Volume17
Issue number21
DOIs
Publication statusPublished - 1 Jan 2017
Event17th International Multidisciplinary Scientific Geoconference - Albena
Duration: 29 Jun 20175 Jul 2017

Fingerprint

anomaly
Excavation
Magnetic variables measurement
Debris
excavation
Metals
Magnetometry
archaeological site
well
metal

Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

@article{13b1b010e2694ac692f56a11d0ac7b6e,
title = "Magnetometry data processing to detect archaeological sites",
abstract = "This article discusses the use of different algorithms for analyzing data obtained by magnetic measurements in archaeological excavations. The aim of this work is the automatic detection of possible anomalies in data that may indicate the presence of archaeological sites. The article discusses two kinds of anomalies – useful (caused by the presence of archaeological sites) and spot anomalies (caused by the presence of various metal debris). Spot anomalies create local noise that interfere with the determination of the spatial anomalies caused by the remains of ancient buildings, such as walls of houses, wells, dugouts, etc. The paper proposes algorithms that allow to exclude from the data spot anomalies and to concentrate on identifying spatial anomalies. Also discusses innovative methods that allow to determine the contours of the spatial anomalies (archaeological sites). The algorithms were tested on many real data sets, obtained during excavations in the Crimea, and showed good results.",
keywords = "Archaeological excavations, Boundary extraction, Magnetometry, Noise filtering, Spatial data smoothing",
author = "Natalia Grafeeva and Elena Mikhailova and Mariya Pashkova and Sofya Ilinykh",
year = "2017",
month = "1",
day = "1",
doi = "10.5593/sgem2017/21/S07.050",
language = "English",
volume = "17",
pages = "393--400",
journal = "International Multidisciplinary Scientific GeoConference-SGEM",
issn = "1314-2704",
publisher = "International Multidisciplinary Scientific Geoconference",
number = "21",

}

TY - JOUR

T1 - Magnetometry data processing to detect archaeological sites

AU - Grafeeva, Natalia

AU - Mikhailova, Elena

AU - Pashkova, Mariya

AU - Ilinykh, Sofya

PY - 2017/1/1

Y1 - 2017/1/1

N2 - This article discusses the use of different algorithms for analyzing data obtained by magnetic measurements in archaeological excavations. The aim of this work is the automatic detection of possible anomalies in data that may indicate the presence of archaeological sites. The article discusses two kinds of anomalies – useful (caused by the presence of archaeological sites) and spot anomalies (caused by the presence of various metal debris). Spot anomalies create local noise that interfere with the determination of the spatial anomalies caused by the remains of ancient buildings, such as walls of houses, wells, dugouts, etc. The paper proposes algorithms that allow to exclude from the data spot anomalies and to concentrate on identifying spatial anomalies. Also discusses innovative methods that allow to determine the contours of the spatial anomalies (archaeological sites). The algorithms were tested on many real data sets, obtained during excavations in the Crimea, and showed good results.

AB - This article discusses the use of different algorithms for analyzing data obtained by magnetic measurements in archaeological excavations. The aim of this work is the automatic detection of possible anomalies in data that may indicate the presence of archaeological sites. The article discusses two kinds of anomalies – useful (caused by the presence of archaeological sites) and spot anomalies (caused by the presence of various metal debris). Spot anomalies create local noise that interfere with the determination of the spatial anomalies caused by the remains of ancient buildings, such as walls of houses, wells, dugouts, etc. The paper proposes algorithms that allow to exclude from the data spot anomalies and to concentrate on identifying spatial anomalies. Also discusses innovative methods that allow to determine the contours of the spatial anomalies (archaeological sites). The algorithms were tested on many real data sets, obtained during excavations in the Crimea, and showed good results.

KW - Archaeological excavations

KW - Boundary extraction

KW - Magnetometry

KW - Noise filtering

KW - Spatial data smoothing

UR - http://www.scopus.com/inward/record.url?scp=85032505569&partnerID=8YFLogxK

U2 - 10.5593/sgem2017/21/S07.050

DO - 10.5593/sgem2017/21/S07.050

M3 - Conference article

AN - SCOPUS:85032505569

VL - 17

SP - 393

EP - 400

JO - International Multidisciplinary Scientific GeoConference-SGEM

JF - International Multidisciplinary Scientific GeoConference-SGEM

SN - 1314-2704

IS - 21

ER -