Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis (2026)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; SCABINI, LEONARDO FELIPE DOS SANTOS - IFSC ; ZIELINSKI, KALLIL MIGUEL CAPARROZ - IFSC
- Unidade: IFSC
- DOI: 10.1016/j.compbiomed.2026.111504
- Subjects: VISÃO COMPUTACIONAL; VISÃO COMPUTACIONAL; RECONHECIMENTO DE IMAGEM
- Keywords: Complex networks; Computer vision; Network science; Hyperspectral images; Bioimage analysis; Feature extraction
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers in Biology and Medicine
- ISSN: 0013-4686
- Volume/Número/Paginação/Ano: v. 204, p. 111504-1-111504-12, Mar. 2026
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SCABINI, Leonardo et al. Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis. Computers in Biology and Medicine, v. 204, p. 111504-1-111504-12, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2026.111504. Acesso em: 11 fev. 2026. -
APA
Scabini, L., Zielinski, K. M. C., Fernandes, M., Fares, R. T., Ribas, L. C., Kolb, R. M., & Bruno, O. M. (2026). Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis. Computers in Biology and Medicine, 204, 111504-1-111504-12. doi:10.1016/j.compbiomed.2026.111504 -
NLM
Scabini L, Zielinski KMC, Fernandes M, Fares RT, Ribas LC, Kolb RM, Bruno OM. Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis [Internet]. Computers in Biology and Medicine. 2026 ; 204 111504-1-111504-12.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1016/j.compbiomed.2026.111504 -
Vancouver
Scabini L, Zielinski KMC, Fernandes M, Fares RT, Ribas LC, Kolb RM, Bruno OM. Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis [Internet]. Computers in Biology and Medicine. 2026 ; 204 111504-1-111504-12.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1016/j.compbiomed.2026.111504 - RADAM: texture recognition through randomized aggregated encoding of deep activation maps
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- A comparative survey of vision transformers for feature extraction in texture analysis
- Complex texture features learned by applying randomized neural network on graphs
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Informações sobre o DOI: 10.1016/j.compbiomed.2026.111504 (Fonte: oaDOI API)
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