Magnetometry data processing to detect archaeological sites

Natalia Grafeeva, Elena Mikhailova, Mariya Pashkova, Sofya Ilinykh

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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
Issue number21
StatePublished - 1 Jan 2017
Event17th International Multidisciplinary Scientific Geoconference, SGEM 2017 - Albena, Bulgaria
Duration: 29 Jun 20175 Jul 2017

Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology


  • Archaeological excavations
  • Boundary extraction
  • Magnetometry
  • Noise filtering
  • Spatial data smoothing

Fingerprint Dive into the research topics of 'Magnetometry data processing to detect archaeological sites'. Together they form a unique fingerprint.

Cite this