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

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: Conference on Graphics, Patterns and Images (SIBGRAPI’17), 2017, Niteroi. Electronic Proceedings of the 30th Conference on Graphics, Patterns and Images (SIBGRAPI’17). São Jose dos Campos: National Institute for Space Research (INPE), 2017. p. 382-389.

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

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.