Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images (2019)
- Authors:
- USP affiliated authors: MAUAD, FREDERICO FABIO - EESC ; GUIMARÃES, TAINÁ THOMASSIM - EESC
- Unidade: EESC
- DOI: 10.3390/su11092580
- Subjects: AERONAVES NÃO TRIPULADAS; REDES NEURAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Sustainability
- ISSN: 2071-1050
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
GUIMARÃES, Tainá Thomassim et al. Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images. Sustainability, 2019Tradução . . Disponível em: https://doi.org/10.3390/su11092580. Acesso em: 30 dez. 2025. -
APA
Guimarães, T. T., Veronez, M. R., Koste, E. C., Souza, E. M. de, Brum, D., Gonzaga Junior, L., & Mauad, F. F. (2019). Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images. Sustainability. doi:10.3390/su11092580 -
NLM
Guimarães TT, Veronez MR, Koste EC, Souza EM de, Brum D, Gonzaga Junior L, Mauad FF. Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images [Internet]. Sustainability. 2019 ;[citado 2025 dez. 30 ] Available from: https://doi.org/10.3390/su11092580 -
Vancouver
Guimarães TT, Veronez MR, Koste EC, Souza EM de, Brum D, Gonzaga Junior L, Mauad FF. Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images [Internet]. Sustainability. 2019 ;[citado 2025 dez. 30 ] Available from: https://doi.org/10.3390/su11092580 - Geometry accuracy of DSM in water body margin obtained from an RGB camera with NIR band and a multispectral sensor embedded in UAV
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Informações sobre o DOI: 10.3390/su11092580 (Fonte: oaDOI API)
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