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Underground Archeological Structures Detection
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SYSNO ASEP 0546213 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Underground Archeological Structures Detection Author(s) Moudrá, A. (CZ)
Haindl, Michal (UTIA-B) RID, ORCIDNumber of authors 2 Article number 56 Source Title Advances in Computational Collective Intelligence. - Cham : Springer International Publishing, 2021 / Wojtkiewicz Krystian ; Treur Jan ; Pimenidis Elias ; Maleszka Marcin - ISSN 1865-0929 - ISBN 978-3-030-88113-9 Pages s. 690-702 Number of pages 13 s. Publication form Print - P Action International Conference on Computational Collective Intelligence 2021 /13./ Event date 29.09.2021 - 01.10.2021 VEvent location Kallithea, Rhodes Country GR - Greece Event type WRD Language eng - English Country CH - Switzerland Keywords Remote sensing archeology ; underground heritage site recognition ; aerial image-based automated site detection Subject RIV BD - Theory of Information OECD category Communication engineering and systems R&D Projects GA19-12340S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 DOI https://doi.org/10.1007/978-3-030-88113-9_56 Annotation This paper introduces and compares three approaches for automatic archaeological heritage site detection hidden under soil cover from public aerial images. The methods use low quality public aerial RGB spectral data restricted by the land-use map to agricultural regions in the vegetation season to detect underground structure influencing plants growing on the surface soil layer. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2022 Electronic address http://library.utia.cas.cz/separaty/2021/RO/haindl-0546213.pdf
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