Raul Queiroz Feitosa
Raul Queiroz Feitosa
Professor at Pontifical Catholic University of Rio de Janeiro, Dept Electrical Engineering, Brazil
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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
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
Segmentation of liver, its vessels and lesions from CT images for surgical planning
DAB Oliveira, RQ Feitosa, MM Correia
Biomedical engineering online 10, 1-23, 2011
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
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
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 Cué La Rosa, ...
Sensors 20 (2), 563, 2020
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
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
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
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
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
SAR to optical image synthesis for cloud removal with generative adversarial networks
JD Bermudez, PN Happ, DAB Oliveira, RQ Feitosa
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018
Evaluation of deep learning techniques for deforestation detection in the Brazilian Amazon and Cerrado biomes from remote sensing imagery.
MO Adarme, RQ Feitosa, PN Happ, CA De Almeida, AR Gomes
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
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 the Photogrammetry, Remote Sensing and Spatial …, 2015
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
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
JAC Martinez, LEC La Rosa, RQ Feitosa, IDA Sanches, PN Happ
ISPRS Journal of Photogrammetry and Remote Sensing 171, 188-201, 2021
Design of radial basis function network as classifier in face recognition using eigenfaces
CE Thomaz, RQ Feitosa, Á Veiga
Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No. 98EX209 …, 1998
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
Genetic adaptation of segmentation parameters
G Costa, RQ Feitosa, TB Cazes, B Feijó
Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote …, 2008
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