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 | 114 | 2020 |
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 | 90 | 2019 |
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 | 76 | 2010 |
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 Sensing 12 (6), 2020 | 73* | 2020 |
SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS. JD Bermudez, PN Happ, DAB Oliveira, RQ Feitosa ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2018 | 65 | 2018 |
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 | 63* | 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 Sensing, 2016 | 58 | 2016 |
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 Photogrammetry, Remote Sensing and Spatial …, 2015 | 58 | 2015 |
Atrous cGAN for SAR to optical image translation JN Turnes, JDB Castro, DL Torres, PJS Vega, RQ Feitosa, PN Happ IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 32 | 2020 |
A Region-Growing Segmentation Algorithm for GPUs PN Happ, RQ Feitosa, C Bentes, R Farias IEEE Geoscience and Remote Sensing Letters 10 (6), 1612 - 1616, 2013 | 32 | 2013 |
A region growing segmentation algorithm for GPUs PN Happ, RQ Feitosa, C Bentes, R Farias Boletim de Ciências Geodésicas 19 (2), 208-226, 2013 | 32 | 2013 |
Deep learning-based tree species mapping in a highly diverse tropical urban setting GB Martins, LEC La Rosa, PN Happ, LCT Coelho Filho, CJF Santos, ... Urban Forestry & Urban Greening 64, 127241, 2021 | 31 | 2021 |
Combining deep learning and prior knowledge for crop mapping in tropical regions from multitemporal SAR image sequences LE Cué La Rosa, R Queiroz Feitosa, P Nigri Happ, I Del’Arco Sanches, ... Remote Sensing 11 (17), 2029, 2019 | 30 | 2019 |
Evaluation of deep learning techniques for deforestation detection in the Amazon forest MX Ortega, JD Bermudez, PN Happ, A Gomes, RQ Feitosa ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 28 | 2019 |
Evaluation of recurrent neural networks for crop recognition from multitemporal remote sensing images JD Bermudez, PM Achanccaray, ID Sanches, LE Cué, PN Happ, ... Anais do XXVII Congresso Brasileiro de Cartografia, 2017 | 21 | 2017 |
An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences JB Castro, RQ Feitosa, PN Happ IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 17 | 2018 |
A parallel image segmentation algorithm on gpus PN Happ, RQ Feitosa, C Bentes, R Farias Proceedings of the International Conference on Geographic Object-Based Image …, 2012 | 16 | 2012 |
Domain adaptation with cyclegan for change detection in the amazon forest PJ Soto, G Costa, RQ Feitosa, PN Happ, MX Ortega, J Noa, CA Almeida, ... ISPRS Archives; 43, B3 43 (B3), 1635-1643, 2020 | 14 | 2020 |
Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification RR Antunes, T Blaschke, D Tiede, ES Bias, G Costa, PN Happ GIScience & remote sensing 56 (4), 536-553, 2019 | 14 | 2019 |
Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences LEC La Rosa, PN Happ, RQ Feitosa IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 13 | 2018 |