| Nonlinear unmixing of hyperspectral data via deep autoencoder networks M Wang, M Zhao, J Chen, S Rahardja IEEE Geoscience and Remote Sensing Letters 16 (9), 1467-1471, 2019 | 127 | 2019 |
| Hyperspectral unmixing for additive nonlinear models with a 3-D-CNN autoencoder network M Zhao, M Wang, J Chen, S Rahardja IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 62 | 2021 |
| LSTM-DNN based autoencoder network for nonlinear hyperspectral image unmixing M Zhao, L Yan, J Chen IEEE Journal of Selected Topics in Signal Processing 15 (2), 295-309, 2021 | 52 | 2021 |
| Object detection in hyperspectral images L Yan, M Zhao, X Wang, Y Zhang, J Chen IEEE Signal Processing Letters 28, 508-512, 2021 | 48 | 2021 |
| Integration of physics-based and data-driven models for hyperspectral image unmixing: A summary of current methods J Chen, M Zhao, X Wang, C Richard, S Rahardja IEEE Signal Processing Magazine 40 (2), 61-74, 2023 | 47 | 2023 |
| Reconstruction of hyperspectral data from RGB images with prior category information L Yan, X Wang, M Zhao, M Kaloorazi, J Chen, S Rahardja IEEE Transactions on Computational Imaging 6, 1070-1081, 2020 | 44 | 2020 |
| A 3-D-CNN framework for hyperspectral unmixing with spectral variability M Zhao, S Shi, J Chen, N Dobigeon IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 43 | 2022 |
| A plug-and-play priors framework for hyperspectral unmixing M Zhao, X Wang, J Chen, W Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 36 | 2021 |
| Probabilistic generative model for hyperspectral unmixing accounting for endmember variability S Shi, M Zhao, L Zhang, Y Altmann, J Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 30 | 2021 |
| A laboratory-created dataset with ground truth for hyperspectral unmixing evaluation M Zhao, J Chen, Z He IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 19 | 2019 |
| Hyperspectral imaging in agriculture, food and environment AIL Maldonado, H Rodriguez-Fuentes, JAV Contreras BoD–Books on Demand, 2018 | 19 | 2018 |
| A multi-model fusion framework for nir-to-rgb translation L Yan, X Wang, M Zhao, S Liu, J Chen 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 17 | 2020 |
| Variational autoencoders for hyperspectral unmixing with endmember variability S Shi, M Zhao, L Zhang, J Chen ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 16 | 2021 |
| Hyperspectral shadow removal via nonlinear unmixing M Zhao, J Chen, S Rahardja IEEE Geoscience and Remote Sensing Letters 18 (5), 881-885, 2020 | 16 | 2020 |
| Cascaded transformer U-net for image restoration L Yan, M Zhao, S Liu, S Shi, J Chen Signal Processing 206, 108902, 2023 | 15 | 2023 |
| Deep constrained energy minimization for hyperspectral target detection X Yang, M Zhao, S Shi, J Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 15 | 2022 |
| Hyperspectral image shadow compensation via cycle-consistent adversarial networks M Zhao, L Yan, J Chen Neurocomputing 450, 61-69, 2021 | 11 | 2021 |
| Multiscale-superpixel-based SparseCEM for hyperspectral target detection X Yang, M Zhao, T Gao, J Chen, J Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 11 | 2021 |
| CNN-based anomaly detection for face presentation attack detection with multi-channel images Y Zhang, M Zhao, L Yan, T Gao, J Chen 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 10 | 2020 |
| Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing M Zhao, M Wang, J Chen, S Rahardja IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 9 | 2022 |
Xiuheng WangPh.D., Université Côte d’Azur, CNRS, OCA.在 oca.eu 的电子邮件经过验证
Xiuheng WangPh.D., Université Côte d’Azur, CNRS, OCA.在 oca.eu 的电子邮件经过验证
Mou WangInstitute of Acoustics, Chinese Academy of Sciences在 mail.nwpu.edu.cn 的电子邮件经过验证