| Spectral-spatial feature extraction and classification by ANN supervised with center loss in hyperspectral imagery AJX Guo, F Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1755-1767, 2018 | 49 | 2018 |
| Biobjective nonnegative matrix factorization: Linear versus kernel-based models F Zhu, P Honeine IEEE Transactions on Geoscience and Remote Sensing 54 (7), 4012-4022, 2016 | 45 | 2016 |
| A CNN-based spatial feature fusion algorithm for hyperspectral imagery classification AJX Guo, F Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7170-7181, 2019 | 44 | 2019 |
| Correntropy maximization via ADMM: Application to robust hyperspectral unmixing F Zhu, A Halimi, P Honeine, B Chen, N Zheng IEEE Transactions on Geoscience and Remote Sensing 55 (9), 4944-4955, 2017 | 35 | 2017 |
| Kernel nonnegative matrix factorization without the pre-image problem F Zhu, P Honeine, M Kallas 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | 31 | 2014 |
| Online kernel nonnegative matrix factorization F Zhu, P Honeine Signal Processing 131, 143-153, 2017 | 27 | 2017 |
| Classification of small-scale hyperspectral images with multi-source deep transfer learning X Zhao, Y Liang, AJX Guo, F Zhu Remote Sensing Letters 11 (4), 303-312, 2020 | 25 | 2020 |
| A graph regularized multilinear mixing model for nonlinear hyperspectral unmixing M Li, F Zhu, AJX Guo, J Chen Remote Sensing 11 (19), 2188, 2019 | 19 | 2019 |
| Improving deep hyperspectral image classification performance with spectral unmixing AJX Guo, F Zhu Signal Processing 183, 107949, 2021 | 16 | 2021 |
| Hyperspectral image classification with deep metric learning and conditional random field Y Liang, X Zhao, AJX Guo, F Zhu IEEE Geoscience and Remote Sensing Letters 17 (6), 1042-1046, 2019 | 15 | 2019 |
| A Robust Multilinear Mixing Model with l2,1 norm for Unmixing Hyperspectral Images M Li, F Zhu, AJX Guo 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 10 | 2020 |
| Pixel-wise linear/nonlinear nonnegative matrix factorization for unmixing of hyperspectral data F Zhu, P Honeine, J Chen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Online nonnegative matrix factorization based on kernel machines F Zhu, P Honeine 2015 23rd European Signal Processing Conference (EUSIPCO), 2381-2385, 2015 | 5 | 2015 |
| Hyperspectral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders T Fang, F Zhu, J Chen IEEE Transactions on Geoscience and Remote Sensing 62, 2024 | 2 | 2024 |
| A kernel-based weight decorrelation for regularizing CNNs Y Zhang, F Zhu Neurocomputing 429, 47-59, 2021 | 2 | 2021 |
| ADMM for maximum correntropy criterion F Zhu, A Halimi, P Honeine, B Chen, N Zheng 2016 International Joint Conference on Neural Networks (IJCNN), 1420-1427, 2016 | 2 | 2016 |
| Pareto front of bi-objective kernel-based nonnegative matrix factorization F Zhu, P Honeine Proc. 23rd European Symposium on Artificial Neural Networks, Computational …, 2015 | 2 | 2015 |
| Nonlinear hyperspectral unmixing based on multilinear mixing model using convolutional autoencoders T Fang, F Zhu, J Chen arXiv preprint arXiv:2303.08156, 2023 | 1 | 2023 |
| Kernel nonnegative matrix factorization: application to hyperspectral imagery F Zhu Université de Technologie de Troyes, 2016 | 1 | 2016 |
| Eviter la malédiction de pré-image: application à la factorisation en matrices non négatives à noyaux P Honeine, F Zhu Actes du 25-eme Colloque GRETSI sur le Traitement du Signal et des Images, 2015 | 1 | 2015 |
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen Normandie在 univ-rouen.fr 的电子邮件经过验证
