Raul Queiroz Feitosa

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Patrick Nigri HappPontifical Catholic University of Rio de JaneiroE-mail confirmado em exacta.inf.puc-rio.br
Dário Augusto Borges OliveiraProfessor at Getulio Vargas Foundation / Senior Researcher IBME-mail confirmado em fgv.br
Cláudia Maria de AlmeidaNational Institute for Space Research - INPEE-mail confirmado em dsr.inpe.br
José David Bermúdez CastroMcMaster UniversityE-mail confirmado em ele.puc-rio.br
Rodrigo da Silva FerreiraMicrosoftE-mail confirmado em microsoft.com
Ieda Del'Arco SanchesINPEE-mail confirmado em inpe.br
Christian HeipkeProfessor in photogrammetry and remote sensing, Leibniz Universität Hannover, GermanyE-mail confirmado em ipi.uni-hannover.de
Pedro Marco Achanccaray DiazTechnical University of BraunschweigE-mail confirmado em tu-braunschweig.de
Carlos Eduardo ThomazProfessor of Statistical Pattern Recognition, FEIE-mail confirmado em fei.edu.br
Peter HofmannSenior Scientist, Deggendorf Institute of TechnologyE-mail confirmado em th-deg.de
Victor Andres Ayma QuiritaPontifical Catholic University of PeruE-mail confirmado em pucp.pe
freek van der meerhoogleraar, Universiteit TwenteE-mail confirmado em utwente.nl
Geoffrey J. Hay (PhD)Professor GIScience, University of CalgaryE-mail confirmado em ucalgary.ca
Thomas BlaschkeUniversity of Salzburg Department of GeoinformaticsE-mail confirmado em sbg.ac.at
Stefan LangAssoc. Prof., Department of Geoinformatics, Vice-Dean Faculty of Digital and Analytical SciencesE-mail confirmado em plus.ac.at
Maggi KellyProfessor and Cooperative Extension Specialist, University of California - BerkeleyE-mail confirmado em berkeley.edu
Harald van der WerffUniversity of TwenteE-mail confirmado em utwente.nl
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainE-mail confirmado em unex.es
Gamba PaoloFull Professor, Università di PaviaE-mail confirmado em unipv.it
LEILA MARIA GARCIA FONSECAResearcher, Brazil, National Institute for Space Research (INPE)E-mail confirmado em inpe.br

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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

Image Analysis Remote Sensing Machine Learning Biometrics


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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	1863	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	179	2019
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	147	2020
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	139	2011
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	135	2020
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	113	2004
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	100	2019
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	92	2014
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	86	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 Remote. Sens. 12 (6), 910, 2020	81	2020
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	81	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	75	2011
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	74	2021
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	70	2006
Deforestation detection with fully convolutional networks in the Amazon Forest from Landsat-8 and Sentinel-2 images DL Torres, JN Turnes, PJ Soto Vega, RQ Feitosa, DE Silva, ... Remote Sensing 13 (24), 5084, 2021	68	2021
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	66	2016
& Tiede, D.(2014). 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, 0	65
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	61	2018
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	58	2015
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data LEC La Rosa, C Sothe, RQ Feitosa, CM de Almeida, MB Schimalski, ... ISPRS Journal of Photogrammetry and Remote Sensing 179, 35-49, 2021	48	2021

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