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A expressão de busca foi <related:sid.inpe.br/mtc-m21d/2023/03.31.22.17.23-0:en:title:2:cerrado classification based image:ai4luc pixel based classification land use land cover via deep learning cerrado image dataset:>.
4 referências similares encontradas (inclusive a original) buscando em 9 dentre 9 Arquivos.
Data e hora local de busca: 05/06/2023 07:17.

Miranda::PiClLa
id 8JMKD3MGP3W34T/48QQB65 Tese ou Dissertação acesso restrito (1.00) -m-
Miranda, M. S. ::
AI4LUC: pixel-based classification of land use and land cover via deep learning and a cerrado image dataset

BendiniFRRSRMKLSH:2020:StCaBr
id 8JMKD3MGP3W34R/43B6GAE Artigo em Evento (0.31) -m-
Bendini, H. N., et al. :2020:
Applying a Phenological Object-Based Image Analysis (PHENOBIA) for agricultural land classification: a study case in the brazilian cerrado

BendiniFSKRSLH:2019:DeAgLa
id 8JMKD3MGP3W34R/3U5F8JP Artigo em Revista Científica

acesso restrito (0.30) -m-
Bendini, H. N., et al. :2019:
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series

Bendini:2019:AgLaCl
id 8JMKD3MGP3W34R/3RJS628 Tese ou Dissertação (0.27) -m-
Bendini, H. N. :2019:
Agricultural land classification based on phenological information from dense time-series Landsat-like images in the brazilian Cerrado