| Vertex component analysis: A fast algorithm to unmix hyperspectral data JMP Nascimento, JMB Dias IEEE transactions on Geoscience and Remote Sensing 43 (4), 898-910, 2005 | 3086 | 2005 |
| Hyperspectral subspace identification JM Bioucas-Dias, JMP Nascimento IEEE Transactions on Geoscience and Remote Sensing 46 (8), 2435-2445, 2008 | 1353 | 2008 |
| Does independent component analysis play a role in unmixing hyperspectral data? JMP Nascimento, JMB Dias IEEE Transactions on Geoscience and Remote Sensing 43 (1), 175-187, 2005 | 492 | 2005 |
| Nonlinear mixture model for hyperspectral unmixing JMP Nascimento, JM Bioucas-Dias Proc. of SPIE Europe Remote Sensing 7477, 74770I-74770I-8, 2009 | 223 | 2009 |
| Hyperspectral unmixing based on mixtures of Dirichlet components JMP Nascimento, JM Bioucas-Dias IEEE Transactions on Geoscience and Remote Sensing 50 (3), 863-878, 2011 | 188 | 2011 |
| Estimation of signal subspace on hyperspectral data JM Bioucas-Dias, JMP Nascimento Image and signal processing for remote sensing XI 5982, 191-198, 2005 | 81 | 2005 |
| Hyperspectral unmixing algorithm via dependent component analysis JMP Nascimento, JM Bioucas-Dias 2007 IEEE International Geoscience and Remote Sensing Symposium, 4033-4036, 2007 | 76 | 2007 |
| Parallel Hyperspectral Unmixing on GPUs JMP Nascimento, JM Bioucas-Dias, JM Rodriguez Alves, V Silva, A Plaza Geoscience and Remote Sensing Letters 11 (3), 666-670, 2013 | 52 | 2013 |
| Unmixing hyperspectral intimate mixtures JMP Nascimento, JM Bioucas-Dias Proc. of SPIE Europe Remote Sensing 7830, 78300C-78300C-8, 2010 | 47 | 2010 |
| Fire segmentation using a DeepLabv3+ architecture H Harkat, J Nascimento, A Bernardino Image and signal processing for remote sensing XXVI 11533, 134-145, 2020 | 44 | 2020 |
| Hyperspectral signal subspace estimation JMP Nascimento, JM Bioucas-Dias 2007 IEEE International Geoscience and Remote Sensing Symposium, 3225-3228, 2007 | 38 | 2007 |
| Embedded system for individual recognition based on ECG Biometrics AC Matos, A Lourenço, J Nascimento Procedia Technology 17, 265-272, 2014 | 36 | 2014 |
| In vitro antimalarial activity of six Aspidosperma species from the state of Minas Gerais (Brazil) MF Dolabela, SG Oliveira, JM Peres, J Nascimento, MM Póvoa, ... Anais da Academia Brasileira de Ciências 84, 899-910, 2012 | 36 | 2012 |
| Fire images classification based on a handcraft approach H Harkat, JMP Nascimento, A Bernardino, HFT Ahmed Expert Systems with Applications 212, 118594, 2023 | 35 | 2023 |
| Vertex component analysis: A~ fast algorithm to extract endmembers spectra from hyperspectral data JMP Nascimento, JMB Dias Iberian Conference on Pattern Recognition and Image Analysis, 626-635, 2003 | 31 | 2003 |
| Unsupervised hyperspectral unmixing JMP Nascimento INSTITUTO SUPERIOR T¶ ECNICO, 2006 | 30 | 2006 |
| Parallel hyperspectral coded aperture for compressive sensing on gpus S Bernabé, G Martín, JMP Nascimento, JM Bioucas-Dias, A Plaza, V Silva IEEE journal of selected topics in applied earth observations and remote …, 2015 | 24 | 2015 |
| Polyomavirus-infected decoy cells in cytocentrifuged urine cytology specimens from renal transplant recipients TMC Maia, SFR Silva, SL Silva, MC Holanda, JM Nascimento, ... Acta cytologica 55 (5), 445-448, 2011 | 23 | 2011 |
| Assessing the impact of the loss function and encoder architecture for fire aerial images segmentation using deeplabv3+ H Harkat, JMP Nascimento, A Bernardino, HF Thariq Ahmed Remote Sensing 14 (9), 2023, 2022 | 22 | 2022 |
| Fire detection using residual deeplabv3+ model H Harkat, JMP Nascimento, A Bernardino 2021 Telecoms Conference (ConfTELE), 1-6, 2021 | 22 | 2021 |
