Discovering geo-magnetic anomalies: a clustering-based approach

Elena Volzhina, Andrei Chudin, Boris Novikov, Natalia Grafeeva, Elena Mikhailova

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

2 Scopus citations

Abstract

The paper investigates the application of clustering algorithms to data obtained by magnetometry in the places of archaeological excavations. The goal was to enable automatic detection in order to find possible anomalies in the data that could indicate the presence of potential archeological sites. Analysis of the results of following experiments with clustering algorithms is presented: d48c;-means, d484;-means and DBScan. The algorithms were run on a number of datasets, and visual assessment by experts confirmed the high level of accuracy of the results.
Original languageEnglish
Title of host publicationProceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-80
ISBN (Print)978-952-68397-7-6, 978-952-68397-6-9
DOIs
StatePublished - 2016
Event2016 International FRUCT Conference on Intelligence, Social Media and Web - Saint-Petersburg, Russian Federation
Duration: 28 Aug 20164 Sep 2016

Conference

Conference2016 International FRUCT Conference on Intelligence, Social Media and Web
Abbreviated titleISMW FRUCT 2016
CountryRussian Federation
CitySaint-Petersburg
Period28/08/164/09/16

Keywords

  • magnetometry
  • clustering algorithms

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