Sanches, I. D., Feitosa, R. Q., Montibeller, B., Diaz, P. A., Luiz, A. J. B., Soares, M. D., … & Chamorro, J. (2020). First Results Of The LEM Benchmark Database For Agricultural Applications. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 251-256.
2020
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery
Lobo Torres, D.; Queiroz Feitosa, R.; Nigri Happ, P.; Elena Cué La Rosa, L.; Marcato Junior, J.; Martins, J.; Olã Bressan, P.; Gonçalves, W.N.; Liesenberg, V. Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery. Sensors 2020, 20, 563.
EVALUATION OF SEMANTIC SEGMENTATION METHODS FOR DEFORESTATION DETECTION IN THE AMAZON
Andrade, R. B., Costa, G. A. O. P., Mota, G. L. A., Ortega, M. X., Feitosa, R. Q., Soto, P. J., and Heipke, C.: EVALUATION OF SEMANTIC SEGMENTATION METHODS FOR DEFORESTATION DETECTION IN THE AMAZON, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1497–1505, 2020.
DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST
Soto, P. J., Costa, G. A. O. P., Feitosa, R. Q., Happ, P. N., Ortega, M. X., Noa, J., Almeida, C. A., and Heipke, C.: DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1635–1643, 2020.
Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery
Ortega, M. X., Feitosa, R. Q., Happ, P. N., De Almeida, C., &, Gomes, A. (2020, March). Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery. Special Issue Assessing Changes in the Amazon and Cerrado Biomes by Remote Sensing.