Underground Archeological Structures Detection

0546213 - ÚTIA 2022 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Moudrá, A. - Haindl, Michal
Underground Archeological Structures Detection.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 690-702, č. článku 56. Communications in Computer and Information Science, 1463. ISBN 978-3-030-88113-9. ISSN 1865-0929.
[International Conference on Computational Collective Intelligence 2021 /13./. Kallithea, Rhodes (GR), 29.09.2021-01.10.2021]
Grant CEP: GA ČR(CZ) GA19-12340S
Institucionální podpora: RVO:67985556
Klíčová slova: Remote sensing archeology * underground heritage site recognition * aerial image-based automated site detection
Obor OECD: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546213.pdf

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.
Trvalý link: http://hdl.handle.net/11104/0323756