Raul Queiroz Feitosa
Raul Queiroz Feitosa
Professor at Pontifical Catholic University of Rio de Janeiro, Dept Electrical Engineering, Brazil
E-mail confirmado em ele.puc-rio.br - Página inicial
Citado por
Citado por
Geographic object-based image analysis–towards a new paradigm
T Blaschke, GJ Hay, M Kelly, S Lang, P Hofmann, E Addink, RQ Feitosa, ...
ISPRS journal of photogrammetry and remote sensing 87, 180-191, 2014
A new covariance estimate for Bayesian classifiers in biometric recognition
CE Thomaz, DF Gillies, RQ Feitosa
IEEE Transactions on circuits and systems for video technology 14 (2), 214-223, 2004
Segmentation of liver, its vessels and lesions from CT images for surgical planning
DAB Oliveira, RQ Feitosa, MM Correia
Biomedical engineering online 10 (1), 1-23, 2011
Conditional random fields for multitemporal and multiscale classification of optical satellite imagery
T Hoberg, F Rottensteiner, RQ Feitosa, C Heipke
IEEE Transactions on Geoscience and Remote Sensing 53 (2), 659-673, 2014
Assessment of CNN-based methods for individual tree detection on images captured by RGB cameras attached to UAVs
AA Santos, J Marcato Junior, MS Araújo, DR Di Martini, EC Tetila, ...
Sensors 19 (16), 3595, 2019
A genetic approach for the automatic adaptation of segmentation parameters
RQ Feitosa, G Costa, TB Cazes, B Feijo
Proceedings of the First International Conference on Object-Based Image …, 2006
Hidden Markov Models for crop recognition in remote sensing image sequences
PBC Leite, RQ Feitosa, AR Formaggio, GAOP da Costa, K Pakzad, ...
Pattern Recognition Letters 32 (1), 19-26, 2011
Multiresolution segmentation: a parallel approach for high resolution image segmentation in multicore architectures
PN Happ, RS Ferreira, C Bentes, G Costa, RQ Feitosa
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2010
Classification algorithms for big data analysis, a map reduce approach
VA Ayma, RS Ferreira, P Happ, D Oliveira, R Feitosa, G Costa, A Plaza, ...
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2015
Design of radial basis function network as classifier in face recognition using eigenfaces
CE Thomaz, RQ Feitosa, A Veiga
Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No. 98EX209 …, 1998
Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery
D Lobo Torres, R Queiroz Feitosa, P Nigri Happ, L Elena Cue La Rosa, ...
Sensors 20 (2), 563, 2020
A new cloud computing architecture for the classification of remote sensing data
VAA Quirita, GAOP da Costa, PN Happ, RQ Feitosa, R da Silva Ferreira, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Assessment of binary coding techniques for texture characterization in remote sensing imagery
M Musci, RQ Feitosa, GAOP Costa, MLF Velloso
IEEE Geoscience and Remote Sensing Letters 10 (6), 1607-1611, 2013
Campo Verde database: seeking to improve agricultural remote sensing of tropical areas
IDA Sanches, RQ Feitosa, PMA Diaz, MD Soares, AJB Luiz, B Schultz, ...
IEEE Geoscience and Remote Sensing Letters 15 (3), 369-373, 2018
Knowledge-based interpretation of remote sensing data with the InterIMAGE system: major characteristics and recent developments
G Costa, RQ Feitosa, LMG Fonseca, DAB Oliveira, RS Ferreira, ...
Proceedings of the 3rd GEOBIA, 2010
Synthesis of multispectral optical images from SAR/optical multitemporal data using conditional generative adversarial networks
JD Bermudez, PN Happ, RQ Feitosa, DAB Oliveira
IEEE Geoscience and Remote Sensing Letters 16 (8), 1220-1224, 2019
Multilevel object-oriented classification of quickbird images for urban population estimates
CM Almeida, IM Souza, CD Alves, CMD Pinho, MN Pereira, RQ Feitosa
Proceedings of the 15th annual ACM international symposium on Advances in …, 2007
Genetic adaptation of segmentation parameters
G Costa, RQ Feitosa, TB Cazes, B Feijó
Object-based image analysis, 679-695, 2008
Multitemporal fuzzy classification model based on class transition possibilities
GLA Mota, RQ Feitosa, HLC Coutinho, CE Liedtke, S Müller, K Pakzad, ...
ISPRS journal of photogrammetry and remote sensing 62 (3), 186-200, 2007
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and …
C Sothe, CM De Almeida, MB Schimalski, LEC La Rosa, JDB Castro, ...
GIScience & Remote Sensing 57 (3), 369-394, 2020
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