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J. D. B. Castro
J. D. B. Castro
The Catholic University of America
Artificial intelligence
Deep learning
Geology
Tropical and subtropical moist broadleaf forests
Remote sensing
2
Papers
38
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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
2020
Giscience & Remote Sensing
Camile Sothe
C. M. de Almeida
Marcos Benedito Schimalski
L. E. C. La Rosa
J. D. B. Castro
Raul Queiroz Feitosa
Michele Dalponte
C. L. Lima
Veraldo Liesenberg
Gabriela Takahashi Miyoshi
Antonio Maria Garcia Tommaselli
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A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification
2019
International Journal of Remote Sensing
Camile Sothe
C. M. de Almeida
Marcos Benedito Schimalski
Veraldo Liesenberg
L. E. C. La Rosa
J. D. B. Castro
Raul Queiroz Feitosa
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Citations (11)
1