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Autodetection of ancient Arabian tombs in high-resolution satellite imagery

Schuetter, Jared, Goel, Prem, McCorriston, Joy, Park, Jihye, Senn, Matthew, Harrower, Michael·2013·International Journal of Remote Sensing
DOI 10.1080/01431161.2013.802054
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Abstract

High circular tombs (HCTs) in southern Arabia provide valuable information for anthropologists who seek fundamental understanding of the transition of ancient peoples from a nomadic pastoral lifestyle, to agro-pastoralism, and eventually to the formation of ancient states. In particular, knowing the geographical distribution of HCTs across the region informs theories on patterns of territoriality and environmental and social factors that are implicated in the emergence of ancient civilizations. The small size of the HCTs, vast search regions, and rugged terrain make mapping them in the field difficult and costly. In this article, a detection algorithm is described and quantitatively evaluated and establishes the feasibility of automatically detecting these tombs in satellite imagery. By narrowing the search to a smaller set of candidate locations, wide area discovery and mapping can be performed much more effectively.

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  • Although satellite data allows study of unprecedentedly large areas, its available resolution is often not sufficient for in-depth assessment and identification of individual features.

    “Although the application of satellite data now allows the study of unprecedentedly large areas, the available resolution of the data is often not sufficient for in-depth assessment and identification of individual features20,21.”

    From Multiscale anthropogenic feature detection in the argentinian andes: satellite machine learning, UAV, and pedestrian survey (2026) · cites this paper as [20]

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Research works printed but not linked: 39

  1. 10.1111/j.1600-0471.1991.tb00026.x · DOI
  2. Bin Aqil A., 2009, Antiquity, 83, 602, 10.1017/S0003598X00098860 · DOI
  3. 10.3406/paleo.2001.4718 · DOI
  4. 10.1109/TPAMI.1986.4767851 · DOI · Paper page
  5. 10.1086/202934 · DOI
  6. Cleuziou S., 2001, Presénce et mise en scène des morts à l'usage des vivants dans les communautés protohistoriques: l'exemple de la péninsule d'Oman à l’âge du bronze ancien, I primi popoli d'Europa, edited by
  7. Cleuziou S., 2007, The Model-Based Archaeology of Socionatural Systems
  8. Dalenius T., 1951, Skandinavisk Aktua-rietidskrift, 34, 133
  9. De Cardi B., 1977, Journal of Oman Studies, 3, 17
  10. 10.1016/j.jas.2006.09.013 · DOI
  11. 10.1145/361237.361242 · DOI · Paper page
  12. 10.1016/j.jas.2010.01.002 · DOI
  13. 10.1080/01621459.1969.10501084 · DOI
  14. ERD, 2007, ERDAS Field Guide
  15. 10.1118/1.596247 · DOI
  16. 10.1109/TSMC.1974.5408463 · DOI
  17. 10.1086/587890 · DOI
  18. 10.1002/arp.182 · DOI
  19. Hough P. V. C., 1962, US Patent No. 3,069,654. Washington, DC: US Patent and Trademark Office
  20. Jensen J. R., 1996, Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall Series in Geographic Information Science
  21. Kelly R., 1995, The Foraging Spectrum
  22. 10.1016/j.gloplacha.2010.01.016 · DOI
  23. 10.1109/TIT.1982.1056489 · DOI · Paper page
  24. MATLAB, 2011, Version 7.13 (R2011b)
  25. 10.1111/j.1548-1433.2011.01396.x · DOI
  26. 10.1111/j.1600-0471.2011.00333.x · DOI
  27. 10.1073/pnas.1115472109 · DOI · Paper page
  28. Okabe A., 1992, Spatial Tessellations: Concepts and Applications of Voronoi Diagrams
  29. 10.1016/0031-3203(82)90041-3 · DOI
  30. 10.1016/j.patcog.2009.06.014 · DOI
  31. Steimer-Herbet T., 2006, Proceedings of the Seminar for Arabian Studies, 36, 257
  32. Steinhaus H., 1956, Bulletin L'Acadmie Polonaise des Science, 1, 801
  33. Stojmenović M., 2007, Proceedings of the IEEE International Conference on Signal Processing and Communications, 1279
  34. Stojmenović M., 2006, Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 222
  35. 10.1016/j.apgeog.2008.08.004 · DOI
  36. 10.1146/annurev.an.15.100186.002333 · DOI
  37. Tou J. T., 1974, Pattern Recognition Principles
  38. 10.1016/0034-4257(79)90013-0 · DOI
  39. 10.1007/978-3-540-85920-8_12 · DOI

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Metadata

Authors
Schuetter, J., Goel, P., McCorriston, J., Park, J., Senn, M., & Harrower, M.
Venue
International Journal of Remote Sensing
Publisher
Informa UK Limited
Published
2013-06-18
Volume
34
Issue
19
Pages
6611-6635
ISSN
  • 0143-1161
  • 1366-5901
DOI
10.1080/01431161.2013.802054
Cited by
33
References
0
Language
en

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