R. Feitosa

Most-cited papers

Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
Anderson Aparecido dos Santos, J. Marcato, Márcio Santos Araújo, David Robledo Di Martini +9 more
2019Italian National Conference on Sensors168 citations Open access
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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
C. Sothe, C. D. de Almeida, M. B. Schimalski, L. L. La Rosa +7 more
2020GIScience & Remote Sensing163 citations Open access
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Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
Jorge A. Chamorro Martinez, Laura Elena Cué La Rosa, R. Feitosa, I. Sanches +1 more
2021Isprs Journal of Photogrammetry and Remote Sensing111 citations
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SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS
J. Bermudez, P. Happ, Dario Augusto Borges Oliveira, R. Feitosa
2018ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences102 citations Open access
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Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial Networks
J. Bermudez, P. Happ, R. Feitosa, Dario Augusto Borges Oliveira
2019IEEE Geoscience and Remote Sensing Letters94 citations
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Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery
M. O. Adarme, R. Feitosa, P. Happ, C. A. de Almeida +1 more
2020Remote Sensing81 citations Open access
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Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images
D. L. Torres, J. N. Turnes, P. J. S. Vega, R. Feitosa +3 more
2021Remote Sensing71 citations Open access
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Deep learning-based tree species mapping in a highly diverse tropical urban setting
Gabriela B. Martins, L. L. La Rosa, P. Happ, Luiz Carlos Teixeira Coelho +3 more
202155 citations
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Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
L. E. C. la Rosa, C. Sothe, R. Feitosa, C. Almeida +2 more
2021arXiv.org54 citations Open access
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An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes
P. S. Soto Vega, G. A. O. Pedro da Costa, R. Feitosa, Mabel Ximena Ortega Adarme +3 more
2021Isprs Journal of Photogrammetry and Remote Sensing53 citations
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Atrous cGAN for SAR to Optical Image Translation
J. N. Turnes, J. D. B. Castro, D. L. Torres, P. J. S. Vega +2 more
2022IEEE Geoscience and Remote Sensing Letters52 citations
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A New Cloud Computing Architecture for the Classification of Remote Sensing Data
Victor Andres Ayma Quirita, G. Costa, P. Happ, R. Feitosa +3 more
2017IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing48 citations
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Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical Areas
Ieda Del'Arco Sanches, R. Feitosa, Pedro Marco Achanccaray Diaz, Marinalva Dias Soares +3 more
2018IEEE Geoscience and Remote Sensing Letters46 citations
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Combining max-pooling and wavelet pooling strategies for semantic image segmentation
André Luiz de Souza Brito, M. Vieira, Mauren L. Andrade, R. Feitosa +1 more
2021Expert systems with applications43 citations
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CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH
V. Ayma, R. Ferreira, P. Happ, Dario Augusto Borges Oliveira +4 more
2015The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences38 citations Open access
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Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences
L. L. La Rosa, R. Feitosa, Patrick Nigri Happ, I. Sanches +1 more
2019Remote Sensing34 citations Open access
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Assessment of Binary Coding Techniques for Texture Characterization in Remote Sensing Imagery
M. Musci, R. Feitosa, G. A. O. Pedro da Costa, M. L. F. Velloso
2013IEEE Geoscience and Remote Sensing Letters34 citations
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A Region-Growing Segmentation Algorithm for GPUs
P. Happ, R. Feitosa, C. Bentes, R. Farias
2013IEEE Geoscience and Remote Sensing Letters27 citations
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Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests
P. J. Soto, G. Costa, R. Feitosa, M. Ortega +2 more
2022IEEE Geoscience and Remote Sensing Letters26 citations Open access
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A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification
C. Sothe, C. D. de Almeida, M. B. Schimalski, V. Liesenberg +3 more
2019International Journal of Remote Sensing26 citations Open access
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New encoder–decoder convolutional LSTM neural network architectures for next-day global ionosphere maps forecast
M. C. M. Paulo, H. Marques, R. Feitosa, M. P. Ferreira
2023GPS Solutions22 citations
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EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES
C. Sothe, L. L. La Rosa, C. D. de Almeida, A. Gonsamo +8 more
2020ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences19 citations Open access
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EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST
M. Ortega, J. Bermudez, P. Happ, A. Gomes +1 more
2019ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences19 citations Open access
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A Comparative Analysis of Deep Learning Techniques for Sub-Tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences
J. D. B. Castro, R. Feitosa, L. L. La Rosa, P. A. Diaz +1 more
2017SIBGRAPI Conference on Graphics, Patterns and Images19 citations
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A knowledge-based, transferable approach for block-based urban land-use classification
T. Novack, H. Kux, R. Feitosa, G. Costa
201418 citations
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LEM BENCHMARK DATABASE FOR TROPICAL AGRICULTURAL REMOTE SENSING APPLICATION
I. Sanches, R. Feitosa, P. Achanccaray, B. Montibeller +5 more
2018ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences16 citations Open access
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Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions
F. Ferrari, M. Ferreira, C. Almeida, R. Feitosa
2023IEEE Geoscience and Remote Sensing Letters15 citations
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Urban Area Extent Extraction in Spaceborne HR and VHR Data Using Multi-Resolution Features
G. Iannelli, G. Lisini, F. Dell'acqua, R. Feitosa +2 more
2014Italian National Conference on Sensors15 citations Open access
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Comparison of Optical and SAR Data for Deforestation Mapping in the Amazon Rainforest with Fully Convolutional Networks
M. Ortega, R. Feitosa, J. Bermudez, P. Happ +1 more
20212021 IEEE International Geoscience and Remote Sensing Symposium IGARSS14 citations
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Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences
Laura Elena Cué La Rosa, P. Happ, R. Feitosa
2018IEEE International Geoscience and Remote Sensing Symposium14 citations
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A PARALLEL IMAGE SEGMENTATION ALGORITHM ON GPUS
P. N. Happ, R. Feitosa, C. Bentes, R. Farias
201214 citations
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Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder
P. J. S. Vega, R. Feitosa, Victor Andres Ayma Quirita, P. Happ
2016SIBGRAPI Conference on Graphics, Patterns and Images13 citations
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Semantic Segmentation Of Endangered Tree Species In Brazilian Savanna Using Deeplabv3+ Variants
D. L. Torres, R. Feitosa, L. L. La Rosa, P. Happ +4 more
20202020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)12 citations Open access
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An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences
J. D. B. Castro, R. Feitosa, P. Happ
2018IEEE International Geoscience and Remote Sensing Symposium12 citations
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Automatic tracking of vessel-like structures from a single starting point
Dario Augusto Borges Oliveira, L. Leal-Taixé, R. Feitosa, B. Rosenhahn
2017Comput. Medical Imaging Graph.12 citations Open access
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A Cloud Computing Strategy for Region-Growing Segmentation
P. Happ, G. A. O. Pedro da Costa, C. Bentes, R. Feitosa +2 more
2016IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12 citations
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Open Set Semantic Segmentation for Multitemporal Crop Recognition
Jorge A. Chamorro Martinez, H. Oliveira, J. D. dos Santos, R. Feitosa
2022IEEE Geoscience and Remote Sensing Letters11 citations
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Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images
L. L. La Rosa, Dario Augusto Borges Oliveira, Maciel Zortea, Bruno Holtz Gemignani +1 more
2022IEEE Geoscience and Remote Sensing Letters11 citations
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Towards distributed region growing image segmentation based on MapReduce
P. Happ, R. Ferreira, G. Costa, R. Feitosa +2 more
2015IEEE International Geoscience and Remote Sensing Symposium11 citations
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An object-based image analysis approach based on independent segmentations
M. Musci, R. Feitosa, G. Costa
2013Joint Urban Remote Sensing Event11 citations
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Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests
P. J. S. Vega, G. A. O. Pedro da Costa, M. O. Adarme, J. D. B. Castro +1 more
2023IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10 citations Open access
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FCRN-Based Multi-Task Learning for Automatic Citrus Tree Detection From UAV Images
L. L. La Rosa, M. Zortea, B. H. Gemignani, Dario Augusto Borges Oliveira +1 more
20202020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)10 citations Open access
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Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation
Victor Andres Ayma Quirita, Pedro Achanccaray Diaz, R. Feitosa, P. Happ +3 more
2016IEEE Geoscience and Remote Sensing Letters9 citations
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ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION FOR DEFORESTATION DETECTION
J. Noa, P. Soto, G. Costa, D. Wittich +2 more
2021ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences8 citations Open access
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Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data
G. Costa, C. Bentes, R. Ferreira, R. Feitosa +1 more
2017IEEE Geoscience and Remote Sensing Letters8 citations
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A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data
R. Ferreira, C. Bentes, G. Costa, Dario Augusto Borges Oliveira +3 more
2017IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing8 citations
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SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images
P. Achanccaray, V. Ayma, L. Jimenez, S. Bernabé +4 more
2015IEEE International Geoscience and Remote Sensing Symposium8 citations
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A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery
M. Soares, L. Dutra, G. A. O. Pedro da Costa, R. Feitosa +2 more
2020Remote Sensing7 citations Open access
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Investigating Fusion Strategies on Encoder-Decoder Networks for Crop Segmentation Using SAR and Optical Image Sequences
L. E. C. la Rosa, Dario Augusto Borges Oliveira, R. Feitosa
20212021 IEEE International Geoscience and Remote Sensing Symposium IGARSS6 citations
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DEFORESTATION DETECTION IN THE AMAZON RAINFOREST WITH SPATIAL AND CHANNEL ATTENTION MECHANISMS
P. Tovar, M. O. Adarme, R. Feitosa
20216 citations Open access
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