Published in
Taylor and Francis Group, GIScience and Remote Sensing, 3(57), p. 369-394, 2020
DOI: 10.1080/15481603.2020.1712102
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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
Journal article published in 2020 by
C. Sothe,
C. M. De Almeida 
,
M. B. Schimalski ,
L. E. C. La Rosa,
J. D. B. Castro,
R. Q. Feitosa,
M. Dalponte,
C. L. Lima,
V. Liesenberg,
G. T. Miyoshi,
A. M. G. Tommaselli
,
M. B. Schimalski ,
L. E. C. La Rosa,
J. D. B. Castro,
R. Q. Feitosa,
M. Dalponte,
C. L. Lima,
V. Liesenberg,
G. T. Miyoshi,
A. M. G. Tommaselli
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