| Convolution transformer mixer for hyperspectral image classification J Zhang, Z Meng, F Zhao, H Liu, Z Chang IEEE Geoscience and Remote Sensing Letters, 1-5, 2022 | 66 | 2022 |
| A lightweight spectral-spatial convolution module for hyperspectral image classification Z Meng, L Jiao, M Liang, F Zhao IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 48 | 2021 |
| Multipath residual network for spectral-spatial hyperspectral image classification Z Meng, L Li, X Tang, Z Feng, L Jiao, M Liang Remote Sensing 11 (16), 1896, 2019 | 45 | 2019 |
| Fully dense multiscale fusion network for hyperspectral image classification Z Meng, L Li, L Jiao, Z Feng, X Tang, M Liang Remote Sensing 11 (22), 2718, 2019 | 39 | 2019 |
| Deep residual involution network for hyperspectral image classification Z Meng, F Zhao, M Liang, W Xie Remote Sensing 13 (16), 3055, 2021 | 24 | 2021 |
| Densely connected pyramidal dilated convolutional network for hyperspectral image classification F Zhao, J Zhang, Z Meng, H Liu Remote Sensing 13 (17), 3396, 2021 | 23 | 2021 |
| SS-MLP: A novel spectral-spatial MLP architecture for hyperspectral image classification Z Meng, F Zhao, M Liang Remote Sensing 13 (20), 4060, 2021 | 22 | 2021 |
| Hyperspectral image classification with mixed link networks Z Meng, L Jiao, M Liang, F Zhao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 21 | 2021 |
| Multiple vision architectures-based hybrid network for hyperspectral image classification F Zhao, J Zhang, Z Meng, H Liu, Z Chang, J Fan Expert Systems with Applications 234, 121032, 2023 | 18 | 2023 |
| A superpixel-based relational auto-encoder for feature extraction of hyperspectral images M Liang, L Jiao, Z Meng Remote Sensing 11 (20), 2454, 2019 | 17 | 2019 |
| A dual multi-head contextual attention network for hyperspectral image classification M Liang, Q He, X Yu, H Wang, Z Meng, L Jiao Remote Sensing 14 (13), 3091, 2022 | 14 | 2022 |
| Residual dense asymmetric convolutional neural network for hyperspectral image classification Z Meng, J Zhang, F Zhao, H Liu, Z Chang IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 12 | 2022 |
| Lightweight multilevel feature fusion network for hyperspectral image classification M Liang, H Wang, X Yu, Z Meng, J Yi, L Jiao Remote Sensing 14 (1), 79, 2021 | 12 | 2021 |
| Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification M Liang, J Dong, L Yu, X Yu, Z Meng, L Jiao IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 2 | 2023 |
| Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network Z Meng, Q Yan, F Zhao, M Liang 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2023 | 1 | 2023 |
| Multi-Scale Super Token Transformer for Hyperspectral Image Classification Z Meng, T Zhang, F Zhao, G Chen, M Liang IEEE Geoscience and Remote Sensing Letters, 2024 | | 2024 |
| An efficient Transformer with neighborhood contrastive tokenization for hyperspectral images classification M Liang, X Zhang, X Yu, L Yu, Z Meng, X Zhang, L Jiao International Journal of Applied Earth Observation and Geoinformation 131 …, 2024 | | 2024 |
| A Feature Fusion Network for PolSAR Image Classification Based on Physical Features and Deep Features W Hua, Q Hou, X Jin, L Liu, N Sun, Z Meng IEEE Geoscience and Remote Sensing Letters, 2024 | | 2024 |
| Multi-Scale Feature Attention and Transformer for Hyperspectral Image Classification Z Meng, Q Yan, F Zhao, M Liang 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2023 | | 2023 |
Licheng JiaoDistinguished Professor of Xidian University, IEEE Fellow在 mail.xidian.edu.cn 的电子邮件经过验证
Licheng JiaoDistinguished Professor of Xidian University, IEEE Fellow在 mail.xidian.edu.cn 的电子邮件经过验证