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Your query: Keywords = "Tree taxonomy clasification"

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0506602 - ÚTIA 2020 RIV NL eng J - Journal Article
Remeš, Václav - Haindl, Michal
Bark recognition using novel rotationally invariant multispectral textural features.
Pattern Recognition Letters. Roč. 125, č. 1 (2019), s. 612-617. ISSN 0167-8655. E-ISSN 1872-7344
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Bark recognition * Tree taxonomy clasification * Spiral Markov random field model * textural feature
OECD category: Communication engineering and systems
Impact factor: 3.255, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/RO/haindl-0506602.pdf https://www.sciencedirect.com/science/article/pii/S0167865519301886
Permanent Link: http://hdl.handle.net/11104/0297826
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0492498 - ÚTIA 2019 RIV CH eng C - Conference Paper (international conference)
Remeš, Václav - Haindl, Michal
Rotationally Invariant Bark Recognition.
Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018. Cham: Springer Nature Switzerland AG, 2018 - (Bai, X.; Hancock, E.; Ho, T.; Wilson, R.; Biggio, B.; Robles-Kelly, A.), s. 22-31, č. článku 3. Lecture Notes in Computer Science, 11004. ISBN 978-3-319-97784-3. ISSN 0302-9743.
[IAPR Joint International Workshop on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition. Beijing (CN), 17.08.2018-19.08.2018]
Institutional support: RVO:67985556
Keywords : Bark recognition * Tree taxonomy clasification * Spiral Markov random field model
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2018/RO/haindl-0492498.pdf
Permanent Link: http://hdl.handle.net/11104/0286554