0546216 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Havlíček, Michal - Haindl, MichalOptimized Texture Spectral Similarity Criteria.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 644-655, č. článku 52. 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]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Texture spectral similarity criterion * Bidirectional Texture Function * hyperspectral data * texture modeling
OECD category: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546216.pdf
Permanent Link: http://hdl.handle.net/11104/0323757
