Ortega, M., Castro, J. B., Soto, P., & Feitosa, R. Q. (2018, November). Unsupervised Representation Learning for Classification of Remote Sensing images based on Generative Adversarial Networks. GRSS-YP & ISPRS Student Consortium SS 2018, Campo Grande (pp. 46).
Publications
Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification
Antunes, R. R., Blaschke, T., Tiede, D., Bias, E. S., Costa, G. A. O. P. and Happ, P. N.: Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification GIScience & Remote Sensing, 2018
An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences
Castro, J. B., Feitosa, R. Q., & Happ, P. N. (2018, July). An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 3824-3827). IEEE.
Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences
La Rosa, L. E. C., Happ, P. N., & Feitosa, R. Q. (2018, July). Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 7460-7463). IEEE.
SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS
Bermudez, J. D., Happ, P. N., Oliveira, D. A. B., and Feitosa, R. Q.: SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS., ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 5-11, https://doi.org/10.5194/isprs-annals-IV-1-5-2018, 2018.
LEM Benchmark database for tropical agricultural remote sensing application
Sanches, I. D., Feitosa, R. Q., Achanccaray, P., Montibeller, B., Luiz, A. J. B., Soares, M. D., Prudente, V. H. R., Vieira, D. C., and Maurano, L. E. P.: LEM Benchmark database for tropical agricultural remote sensing application., Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 387-392, https://doi.org/10.5194/isprs-archives-XLII-1-387-2018, 2018.
Campo Verde Database: Seeking to improve agricultural remote sensing of tropical areas
Sanches, I. D.; Feitosa, R. Q.; Achanccaray, P.; Soares, M. D.; Luiz, A.; Schultz, B.; Maurano, L. Campo Verde Database: Seeking to improve agricultural remote sensing of tropical areas. IEEE Geoscience and Remote Sensing Letters, 15(3):369-373, 2018.
A comparative analysis of deep learning techniques for crop type recognition in temperate and tropical regions from multitemporal SAR image sequences
Cué, L. E.; Bermudez, J. D.; Achanccaray, P.; Sanches, I. D.; Happ, P. N.; Feitosa, R. Q. A comparative analysis of deep learning techniques for crop type recognition in temperate and tropical regions from multitemporal SAR image sequences. Anais do XXVII Congresso Brasileiro de Cartografia e XXVI Exposicarta 6 a 9 de novembro de 2017, SBC, Rio de Janeiro – RJ, p. 730-734
Evaluation of recurrent neural networks for crop recognition from multitemporal remote sensing images
Bermúdez, J. D.; Achanccaray, P.; Sanches, I. D.; Cue, L.; Happ, P.; Feitosa, R. Q. Evaluation of recurrent neural networks for crop recognition from multitemporal remote sensing images. Anais do XXVII Congresso Brasileiro de Cartografia e XXVI Exposicarta 6 a 9 de novembro de 2017, SBC, Rio de Janeiro – RJ, p. 800-804
Utilizando um cluster virtual com Hadoop como uma ferramenta para exploração de big data em processamento de imagens digitais
MUSCI, M.; HAPP, P. N.; COSTA, G. A. O. P.; FEITOSA, R. Q. Utilizando um cluster virtual com Hadoop como uma ferramenta para exploração de big data em processamento de imagens digitais In: XVIII Simpósio Brasileiro de Sensoriamento Remoto, 2017, Santos. Anais do XVIII Simpósio Brasileiro de Sensoriamento Remoto. São José dos Campos: INPE, 2017. p.7489 – 7495
Uma comparação entre MapReduce e Tez para segmentação de imagens em ambientes de computação em nuvem
HAPP, P. N.; COSTA, G. A. O. P.; FEITOSA, R. Q. Uma comparação entre MapReduce e Tez para segmentação de imagens em ambientes de computação em nuvem In: XVIII Simpósio Brasileiro de Sensoriamento Remoto, 2017, Santos. Anais do XVIII Simpósio Brasileiro de Sensoriamento Remoto. São Jose dos Campos: INPE, 2017. p.7938 – 7945
Spatio-temporal Conditional Random Fields for recognition of sub-tropical crop types from multi-temporal images
ACHANCCARAY DIAZ, PEDRO; FEITOSA, R. Q.; ROTTENSTEINER, F.; SANCHES, I. D. A.; HEIPKE, CHRISTIAN. Spatio-temporal Conditional Random Fields for recognition of sub-tropical crop types from multi-temporal images In: XVIII Simpósio Brasileiro de Sensoriamento Remoto, 2017, Santos. Anais do XVIII Simpósio Brasileiro de Sensoriamento Remoto. São José dos Campos: INPE, 2017. p.2539 – 2546
Spatial-temporal conditional random field based model for crop recognition in tropical regions
DIAZ, P. M. A.; FEITOSA, R. Q.; ROTTENSTEINER, F.; SANCHES, I. D. A.; HEIPKE, C. Spatial-temporal conditional random field based model for crop recognition in tropical regions In: 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017, Fort Worth. IGARSS 2017 Proceedings. IEEE, 2017. p.3007 – 3010
Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data
COSTA, GILSON A. O. P.; BENTES, CRISTIANA; FERREIRA, RODRIGO S.; FEITOSA, RAUL Q.; OLIVEIRA, DARIO A. B. Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters. , v.14, p.1 – 5, 2017.
A Comparative Analysis of Deep Learning Techniques for Sub-Tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences
BERMUDEZ, J. ; FEITOSA, RAUL Q. ; CUE, L. ; ACHANCCARAY, P. ; SANCHES, I. D. A Comparative Analysis of Deep Learning Techniques for Sub-Tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences. In: 2017 30th Conference on Graphics, Patterns and Images (SIBGRAPI), Niteroi, 2017. p. 382-389.
Symbiotic Tracker Ensemble with Feedback Learning
QUIRITA, V. H. A. ; HAPP, P. N. ; COSTA, G. A. O. P. ; FEITOSA, R. Q. ; Symbiotic Tracker Ensemble with Feedback Learning. In: 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Niteroi, 2017. p. 421-428.
A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data
FERREIRA, RODRIGO DA SILVA; BENTES, CRISTIANA ; DA COSTA, GILSON ALEXANDRE OSTWALD PEDRO; OLIVEIRA, DÁRIO AUGUSTO BORGES; HAPP, PATRICK NIGRI; FEITOSA, RAUL QUEIROZ ; GAMBA, PAOLO. A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 10, Issue: 2, p. 681 – 690, 2017.
A fuzzy inference system for multispectral image classification
VEGA, PEDRO J. SOTO ; QUIRITA, VICTOR A. AYMA ; ACHANCCARAY, PEDRO M. ; TANSCHEIT, RICARDO ; VELLASCO, MARLEY . A fuzzy inference system for multispectral image classification. In: 2016 IEEE ANDESCON, 2016, Arequipa. 2016 IEEE ANDESCON, 2016. p. 1.
A New Cloud Computing Architecture for the Classification of Remote Sensing Data
QUIRITA, VICTOR ANDRES AYMA ; DA COSTA, GILSON ALEXANDRE OSTWALD PEDRO ; HAPP, PATRICK NIGRI ; FEITOSA, RAUL QUEIROZ ; FERREIRA, RODRIGO DA SILVA ; OLIVEIRA, DARIO AUGUSTO BORGES ; PLAZA, ANTONIO . A New Cloud Computing Architecture for the Classification of Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 10, Issue: 2, p. 409-416, 2017.
InterSeg: A Distributed Image Segmentation Tool
Happ, P. N.; Ferreira, R. S.; Costa, G. A. O. P.; Feitosa, R. Q.; Bentes, C.; Farias, R.; Achanccaray, P. M. . InterSeg: A Distributed Image Segmentation Tool. In: GEOBIA 2016: Solutions and Synergies, 2016, Enschede. GEOBIA 2016: Solutions and Synergies. Enschede: University of Twente Faculty of Geo-Information and Earth Observation, 2016.