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Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data
National Institute for Space Research (INPE); Santa Catarina State University (UDESC); Pontiﬁcal Catholic University of Rio de Janeiro (PUC); Research and Innovation Centre; Universidade Estadual Paulista (Unesp)
Sothe, C.; De Almeida, C. M.; Schimalski, M. B.; La Rosa, L. E.C.; Castro, J. D.B.; Feitosa, R. Q.; Dalponte, M.; Lima, C. L.; Liesenberg, V.; Miyoshi, G. T. [UNESP]; Tommaselli, A. M.G. [UNESP]
11-Dez-2020
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