| Super-resolution for hyperspectral and multispectral image fusion accounting for seasonal spectral variability RA Borsoi, T Imbiriba, JCM Bermudez IEEE transactions on image processing 29, 116-127, 2019 | 84 | 2019 |
| A fast multiscale spatial regularization for sparse hyperspectral unmixing RA Borsoi, T Imbiriba, JCM Bermudez, C Richard IEEE Geoscience and Remote Sensing Letters 16 (4), 598-602, 2018 | 72 | 2018 |
| Spectral variability in hyperspectral data unmixing: A comprehensive review RA Borsoi, T Imbiriba, JCM Bermudez, C Richard, J Chanussot, ... IEEE geoscience and remote sensing magazine 9 (4), 223-270, 2021 | 70 | 2021 |
| Deep generative endmember modeling: An application to unsupervised spectral unmixing RA Borsoi, T Imbiriba, JCM Bermudez IEEE Transactions on Computational Imaging 6, 374-384, 2019 | 63 | 2019 |
| Generalized linear mixing model accounting for endmember variability T Imbiriba, RA Borsoi, JCM Bermudez 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 57 | 2018 |
| Low-rank tensor modeling for hyperspectral unmixing accounting for spectral variability T Imbiriba, RA Borsoi, JCM Bermudez IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1833-1842, 2019 | 42 | 2019 |
| Nonparametric detection of nonlinearly mixed pixels and endmember estimation in hyperspectral images T Imbiriba, JCM Bermudez, C Richard, JY Tourneret IEEE Transactions on Image Processing 25 (3), 1136-1151, 2015 | 34 | 2015 |
| Band selection for nonlinear unmixing of hyperspectral images as a maximal clique problem T Imbiriba, JCM Bermudez, C Richard IEEE Transactions on Image Processing 26 (5), 2179-2191, 2017 | 29 | 2017 |
| A data dependent multiscale model for hyperspectral unmixing with spectral variability RA Borsoi, T Imbiriba, JCM Bermudez IEEE Transactions on Image Processing 29, 3638-3651, 2020 | 27 | 2020 |
| A low-rank tensor regularization strategy for hyperspectral unmixing T Imbiriba, RA Borsoi, JCM Bermudez 2018 IEEE Statistical Signal Processing Workshop (SSP), 373-377, 2018 | 24 | 2018 |
| Deep generative models for library augmentation in multiple endmember spectral mixture analysis RA Borsoi, T Imbiriba, JCM Bermudez, C Richard IEEE Geoscience and Remote Sensing Letters 18 (10), 1831-1835, 2020 | 17 | 2020 |
| A blind multiscale spatial regularization framework for kernel-based spectral unmixing RA Borsoi, T Imbiriba, JCM Bermudez, C Richard IEEE Transactions on Image Processing 29, 4965-4979, 2020 | 17 | 2020 |
| Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging T Imbiriba, JCM Bermudez, JY Tourneret, C Richard 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 15 | 2014 |
| Model-based deep autoencoder networks for nonlinear hyperspectral unmixing H Li, RA Borsoi, T Imbiriba, P Closas, JCM Bermudez, D Erdoğmuş IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 13 | 2021 |
| Personalized federated learning over non-iid data for indoor localization P Wu, T Imbiriba, J Park, S Kim, P Closas 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 12 | 2021 |
| Improved hyperspectral unmixing with endmember variability parametrized using an interpolated scaling tensor RA Borsoi, T Imbiriba, JCM Bermudez ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
| Band selection in RKHS for fast nonlinear unmixing of hyperspectral images T Imbiriba, JCM Bermudez, C Richard, JY Tourneret 2015 23rd European Signal Processing Conference (EUSIPCO), 1651-1655, 2015 | 11 | 2015 |
| Kalman filtering and expectation maximization for multitemporal spectral unmixing RA Borsoi, T Imbiriba, P Closas, JCM Bermudez, C Richard IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 10 | 2020 |
| WiFi Fingerprinting and Tracking Using Neural Networks P Wu, T Imbiriba, G LaMountain, J Vilà-Valls, P Closas ION GNSS+, The International Technical Meeting of the Satellite Division of …, 2019 | 9 | 2019 |
| Gaspeech: A framework for automatically estimating input parameters of klatt's speech synthesizer J Borges, I Couto, F Oliveira, T Imbiriba, A Klautau, E Bruckert 2008 10th Brazilian symposium on neural networks, 81-86, 2008 | 9 | 2008 |
J. C. M. BermudezUniversidade Federal de Santa Catarina在 ieee.org 的电子邮件经过验证
