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Volume 12 Number 5
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Magnetometer prospection is commonly used in archaeology for the non‐invasive detection, mapping and investigation of buried prehistoric sites. The recorded data can contain numerous anomalies caused by archaeological structures in the ground. State‐of‐the‐art geomagnetic data processing results in geo‐referenced maps that traditionally are interpreted within Geographical Information Systems. With the increasing size of surveyed areas, the manual outlining and classification of magnetic anomalies becomes a highly time consuming process. Possibilities for automated classification of the magnetic prospection data prior to the actual archaeological interpretation would considerably enhance the productivity of the archaeological interpretation process regarding magnetic prospection data. Object oriented image processing methods known from remote sensing applications offer a large spectrum of readily available procedures for the automatic and semi‐automatic analysis of raster data sets. Suitable algorithms have been adapted and utilized in order to exemplarily analyse a magnetic archaeological prospection data set with the goal of automatically mapping magnetic features, facilitating further archaeological interpretation. This article shows that the presented semi‐automated classification procedure is able to replace the manual drawing of anomalies based on the expert knowledge and experience of the interpreter to a large degree.

© European Association of Geoscientists and Engineers © 2014 European Association of Geoscientists and Engineers
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/content/journals/10.3997/1873-0604.2014014
2013-12-01
2024-04-24

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References

  1. AspinallA., GaffneyC. and SchmidtA.2008. Magnetometry for Archaeologists.AltaMira Press, Lanham, p. 224.
     [Google Scholar]
  2. BaatzM. and SchäpeA.2000. Multiresolution Segmentation: An Optimization Approach for High Quality Multi‐scale Image Segmentation. Angewandte Geographische Informationsverarbeitung XII, Beiträge zum AGIT Symposium, pp. 12–23.
     [Google Scholar]
  3. BlaschkeT. (2010). Object based image analysis for remote sensing.ISPRS Journal of Photogrammetry and Remote Sensing65(1), 2–16. doi:10.1016/j.isprsjprs.2009.06.004
     [Google Scholar]
  4. BlaschkeTh., LangS. and HayG.J.2008. Object‐Based Image Analysis.Springer Berlin Heidelberg, p. 817.
     [Google Scholar]
  5. CongaltonR.G. and GreenK.2008. Assessing the Accuracy of Remotely Sensed Data.CRC Press, New York, p. 183.
     [Google Scholar]
  6. DaimF. and NeubauerW.2005. Zeitreise Heldenberg. Geheimnisvolle Kreisgräben. Katalog zur Niederösterreichischen Landesausstellung 2005.Verlag Berger, Horn ‐ Wien.
     [Google Scholar]
  7. GaffneyC. and GaterJ.2003. Revealing the Buried Past: Geophysics for Archaeologists.Tempus Publishing, Stroud, p. 208.
     [Google Scholar]
  8. LytatskyH.V.2004. The Meaning of Anomaly. Recorder (Canadian Society of Exploration Geophysicists)29(6), 50–51.
     [Google Scholar]
  9. MelicharP. and NeubauerW.2010. Mittelneolithsiche Kreisgrabenanlagen in Niederösterreich.Verlag Der osterreichischen Akademie Der Wissenschaften, Wien, p. 256.
     [Google Scholar]
  10. NeubauerW.2001. Magnetische Prospektion in der Archäologie.Verlag der Österreichischen Akademie der Wissenschaften, Wien, p. 236.
     [Google Scholar]
  11. NeubauerW. and TrnkaG.2001. Die mittelneolithischen Kreisgrabenanlagen – Rätselhafte Monumentalbauten der Jungsteinzeit.Katalog NÖ Landesausstellung St. Pölten, pp. 169–173.
     [Google Scholar]
  12. StorM. and CongaltonR.1986. Accuracy assessment: A user’s perspective. Photogrammetric Engineering & Remote Sensing53, 397–399.
     [Google Scholar]
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An object oriented approach to automatic classification of archaeological features in magnetic prospection data
Near Surface Geophysics 12, 651 (2014); https://doi.org/10.3997/1873-0604.2014014
/content/journals/10.3997/1873-0604.2014014
/content/journals/10.3997/1873-0604.2014014
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  • Article Type: Research Article

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