Amazon wood species classification: a comparison between deep learning and pre-designed features-Reference-Cited by-同舟云学术

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Amazon wood species classification: a comparison between deep learning and pre-designed features

Published:2021-03-21 Issue:3 Volume:55 Page:857-872
ISSN:0043-7719
Container-title:Wood Science and Technology
language:en
Short-container-title:Wood Sci Technol

Author:

de Geus André R.^ORCID,Backes André R.,Gontijo Alexandre B.,Albuquerque Giovanna H. Q.,Souza Jefferson R.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Plant Science,General Materials Science,Forestry

Link

https://link.springer.com/content/pdf/10.1007/s00226-021-01282-w.pdf

Reference37 articles.

1. Affonso C, Sassi RJ, Barreiros RM (2015) Biological image classification using rough-fuzzy artificial neural network. Expert Syst Appl 42(24):9482–9488

2. Affonso C, Rossi A, Vieira F, de Carvalho A (2017) Deep learning for biological image classification. Expert Syst Appl 85:114–122

3. Ayadi N, Lejeune F, Charrier El Bouhtoury F, Charrier B, Merlin A (2003) Color stability of heat-treated wood during artificial weathering. Holz Roh- Werkst 61:221–226

4. Backes AR, Gonçalves WN, Martinez AS, Bruno OM (2010) Texture analysis and classification using deterministic tourist walk. Pattern Recognit 43(3):685–694

5. Backes AR, de Mesquita Sá!’ Junior JJ (2018) Texture classification using fractal dimension improved by local binary patterns. In: EUSIPCO. IEEE, pp 1312–1316

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