| Geographic object-based image analysis–towards a new paradigm T Blaschke, GJ Hay, M Kelly, S Lang, P Hofmann, E Addink, RQ Feitosa, ... ISPRS journal of photogrammetry and remote sensing 87, 180-191, 2014 | 1867 | 2014 |
| Assessment of CNN-based methods for individual tree detection on images captured by RGB cameras attached to UAVs AA Santos, J Marcato Junior, MS Araújo, DR Di Martini, EC Tetila, ... Sensors 19 (16), 3595, 2019 | 178 | 2019 |
| Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and … C Sothe, CM De Almeida, MB Schimalski, LEC La Rosa, JDB Castro, ... GIScience & Remote Sensing 57 (3), 369-394, 2020 | 149 | 2020 |
| Segmentation of liver, its vessels and lesions from CT images for surgical planning DAB Oliveira, RQ Feitosa, MM Correia Biomedical engineering online 10, 1-23, 2011 | 139 | 2011 |
| 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 | 134 | 2020 |
| A new covariance estimate for Bayesian classifiers in biometric recognition CE Thomaz, DF Gillies, RQ Feitosa IEEE Transactions on circuits and systems for video technology 14 (2), 214-223, 2004 | 112 | 2004 |
| 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 | 100 | 2019 |
| Conditional random fields for multitemporal and multiscale classification of optical satellite imagery T Hoberg, F Rottensteiner, RQ Feitosa, C Heipke IEEE Transactions on Geoscience and Remote Sensing 53 (2), 659-673, 2014 | 94 | 2014 |
| SAR to optical image synthesis for cloud removal with generative adversarial networks JD Bermudez, PN Happ, DAB Oliveira, RQ Feitosa ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 82 | 2018 |
| 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 | 81 | 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. Sens. 12 (6), 910, 2020 | 79 | 2020 |
| Hidden Markov Models for crop recognition in remote sensing image sequences PBC Leite, RQ Feitosa, AR Formaggio, GAOP da Costa, K Pakzad, ... Pattern Recognition Letters 32 (1), 19-26, 2011 | 76 | 2011 |
| 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 | 72 | 2021 |
| A genetic approach for the automatic adaptation of segmentation parameters RQ Feitosa, G Costa, TB Cazes, B Feijo Proceedings of the First International Conference on Object-Based Image …, 2006 | 70 | 2006 |
| Deforestation detection with fully convolutional networks in the amazon forest from landsat-8 and sentinel-2 images DL Torres, JN Turnes, PJ Soto Vega, RQ Feitosa, DE Silva, ... Remote Sensing 13 (24), 5084, 2021 | 67 | 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 …, 2016 | 61 | 2016 |
| Campo verde database: Seeking to improve agricultural remote sensing of tropical areas IDA Sanches, RQ Feitosa, PMA Diaz, MD Soares, AJB Luiz, B Schultz, ... IEEE Geoscience and Remote Sensing Letters 15 (3), 369-373, 2018 | 60 | 2018 |
| & Tiede, D.(2014). Geographic object-based image analysis–towards a new paradigm T Blaschke, GJ Hay, M Kelly, S Lang, P Hofmann, E Addink, RQ Feitosa, ... ISPRS journal of photogrammetry and remote sensing 87, 180-191, 0 | 60 | |
| 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 the Photogrammetry, Remote Sensing and Spatial …, 2015 | 58 | 2015 |
| Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data LEC La Rosa, C Sothe, RQ Feitosa, CM de Almeida, MB Schimalski, ... ISPRS Journal of Photogrammetry and Remote Sensing 179, 35-49, 2021 | 47 | 2021 |
Patrick Nigri HappPontifical Catholic University of Rio de Janeiro在 exacta.inf.puc-rio.br 的电子邮件经过验证
