| 1 |
Zhe Meng*, Qian Yan, Feng Zhao, Gaige Chen, Wenqiang Hua, and Miaomiao Liang, Global-local multigranularity transformer for hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18: 112-131. (SCI二区)🔗 |
2025 |
| 2 |
Zhe Meng*, Taizheng Zhang, Feng Zhao, Wenqiang Hua, and Tian Sun, Channel-reduced transformer with cross-region tokenization for hyperspectral image classification[J]. IEEE Signal Processing Letters, 2025, 32: 3112-3116. (SCI三区) 🔗 |
2025 |
| 3 |
Zhe Meng*, Taizheng Zhang, Feng Zhao, Gaige Chen, and Miaomiao Liang, Multiscale super token transformer for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: 5508105. (SCI三区)🔗 |
2024 |
| 4 |
Zhe Meng*, Qian Yan, Feng Zhao, and Miaomiao Liang, Multi-scale feature attention and transformer for hyperspectral image classification[C]//Proceedings of the 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, Athens, Greece, 2023: 1-5. (EI会议)🔗 |
2023 |
| 5 |
Zhe Meng*, Qian Yan, Feng Zhao, and Miaomiao Liang, Hyperspectral image classification with dynamic spatial-spectral attention network[C]//Proceedings of the 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, Athens, Greece, 2023: 1-4. (EI会议)🔗 |
2023 |
| 6 |
Zhe Meng*, Licheng Jiao, Miaomiao Liang, and Feng Zhao, A lightweight spectral-spatial convolution module for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5505105. (SCI三区)🔗 |
2022 |
| 7 |
Zhe Meng, Junjie Zhang, Feng Zhao*, Hanqiang Liu, and Zhenhui Chang, Residual dense asymmetric convolutional neural network for hyperspectral image classification[C]//Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022: 3159-3162. (EI会议)🔗 |
2022 |
| 8 |
Junjie Zhang, Zhe Meng*, Feng Zhao*, Hanqiang Liu, and Zhenhui Chang, Convolution transformer mixer for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 6014205. (SCI三区)[ESI Highly Cited Paper]🔗 |
2022 |
| 9 |
Zhe Meng*, Licheng Jiao, Miaomiao Liang, and Feng Zhao, Hyperspectral image classification with mixed link networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 2494-2507. (SCI二区)🔗 |
2021 |
| 10 |
Zhe Meng*, Feng Zhao, Miaomiao Liang, and Wen Xie, Deep residual involution network for hyperspectral image classification[J]. Remote Sensing, 2021, 13(16): 3055. (SCI二区)🔗 |
2021 |
| 11 |
Zhe Meng*, Feng Zhao, and Miaomiao Liang, SS-MLP: A novel spectral-spatial mlp architecture for hyperspectral image classification[J]. Remote Sensing, 2021, 13(20): 4060. (SCI二区)🔗 |
2021 |
| 12 |
Feng Zhao, Junjie Zhang, Zhe Meng*, and Hanqiang Liu, Densely connected pyramidal dilated convolutional network for hyperspectral image classification[J]. Remote Sensing, 2021, 13(17): 3396. (SCI二区)🔗 |
2021 |
| 13 |
Zhe Meng, Lingling Li*, Xu Tang, Zhixi Feng, Licheng Jiao, and Miaomiao Liang, Multipath residual network for spectral-spatial hyperspectral image classification[J]. Remote Sensing, 2019, 11(16): 1896. (SCI二区)🔗 |
2019 |
| 14 |
Zhe Meng, Lingling Li*, Licheng Jiao, Zhixi Feng, Xu Tang, and Miaomiao Liang, Fully dense multiscale fusion network for hyperspectral image classification[J]. Remote Sensing, 2019, 11(22): 2718. (SCI二区)🔗 |
2019 |
