📄论文列表(按发表时间倒序)
Journals: (* denotes the Corresponding Author)
23 Wenqiang Hua*, Ruizhe Wang, Chen Ding, Yizhuo Dong, Zhe Meng, and Hu Cui, MF-DETR: A feature fusion network for SAR ship detection based on electromagnetic scattering features and deep features[J]. IEEE Transactions on Aerospace and Electronic Systems, 2026, 62: 9924-9939. (SCI二区)[PDF][Date:2026-04-14] 2026
22 Zhe Meng*, Zixin Yang, and Feng Zhao, Joint classification of hyperspectral and LiDAR data based on dynamic sparse-dense transformer and Mamba[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 19: 11445-11461. (SCI二区)[PDF][BibTeX][Date:2026-03-20] 2026
21 Zhe Meng*, Pan Yue, and Feng Zhao, Hyperspectral image classification via Manhattan self-attention transformer and adaptive global-local channel attention[J]. Journal of King Saud University Computer and Information Sciences, 2026, 38: 97. (SCI二区)[PDF][Code@Github][BibTeX][Date:2026-01-28] 2026
20 Zhe Meng*, Lele Yue, and Feng Zhao, Spatial-frequency joint learning Mamba for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2026, 23: 5501205. (SCI三区)[PDF][Code@Github][BibTeX][Date:2026-01-12] 2026
19 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)[PDF][BibTeX][Date:2025-07-31] 2025
18 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)[PDF][Code@Github][BibTeX][Date:2024-11-06] 2025
17 Jinglu He*, Ruiting Sun, Yingying Kong, Wenlong Chang, Chenglu Sun, Gaige Chen, Yinghua Li, Zhe Meng, and Fuping Wang, CPINet: Towards a novel cross-polarimetric interaction network for dual-polarized SAR ship classification[J]. Remote Sensing, 2024, 16(18): 3479. (SCI二区)[PDF][Date:2024-09-19] 2024
16 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)[PDF][Code@Github][BibTeX][Date:2024-07-22] 2024
15 Wenqiang Hua*, Qianjin Hou, Xiaomin Jin, Lin Liu, Nan Sun, and Zhe Meng, A feature fusion network for PolSAR image classification based on physical features and deep features[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: 4012705. (SCI三区)[PDF][Date:2024-06-24] 2024
14 Miaomiao Liang, Xianhao Zhang, Xiangchun Yu*, Lingjuan Yu, Zhe Meng, Xiaohong Zhang, and Licheng Jiao, An efficient transformer with neighborhood contrastive tokenization for hyperspectral images classification[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 131: 103979. (SCI一区)[PDF][Code@Github][Date:2024-06-21] 2024
13 Miaomiao Liang, Jian Dong, Lingjuan Yu*, Xiangchun Yu*, Zhe Meng, and Licheng Jiao, Self-supervised learning with learnable sparse contrastive sampling for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5530713. (SCI一区)[PDF][Code@Github][Date:2023-11-09] 2023
12 Feng Zhao, Junjie Zhang*, Zhe Meng, Hanqiang Liu, Zhenhui Chang, and Jiulun Fan, Multiple vision architectures-based hybrid network for hyperspectral image classification[J]. Expert Systems with Applications, 2023, 234: 121032. (SCI一区)[PDF][Code@Github][Date:2023-07-28] 2023
11 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][PDF][Code@Github][BibTeX][Date:2022-09-26] 2022
10 Miaomiao Liang, Qinghua He, Xiangchun Yu*, Huai Wang, Zhe Meng, and Licheng Jiao, A dual multi-head contextual attention network for hyperspectral image classification[J]. Remote Sensing, 2022, 14(13): 3091. (SCI二区)[PDF][Code@Github][Date:2022-06-27] 2022
9 Miaomiao Liang, Huai Wang, Xiangchun Yu*, Zhe Meng, Jianbing Yi, and Licheng Jiao, Lightweight multilevel feature fusion network for hyperspectral image classification[J]. Remote Sensing, 2022, 14(1): 79. (SCI二区)[PDF][Code@Github][Date:2021-12-24] 2022
8 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)[PDF][Code@Github][BibTeX][Date:2021-04-06] 2022
7 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)[PDF][Code@Github][BibTeX][Date:2021-10-11] 2021
6 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)[PDF][Code@Github][BibTeX][Date:2021-08-26] 2021
5 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)[PDF][Code@Github][BibTeX][Date:2021-08-04] 2021
4 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)[PDF][Code@Github][BibTeX][Date:2021-01-25] 2021
3 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)[PDF][BibTeX][Date:2019-11-19] 2019
2 Miaomiao Liang*, Licheng Jiao, and Zhe Meng, A superpixel-based relational auto-encoder for feature extraction of hyperspectral images[J]. Remote Sensing, 2019, 11(20): 2454. (SCI二区)[PDF][Date:2019-10-22] 2019
1 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)[PDF][BibTeX][Date:2019-08-13] 2019
Conferences:
4 Zihan Chen, Miaomiao Liang*, Weiwei Wu, Siyu Yang, Zhe Meng, and Lingjuan Yu, An adaptive sparse transformer with convolution mixer for hyperspectral image classification[C]//Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Gold Coast, Australia, 2025: 2319-2323. (EI会议)[PDF][Date:2025-11-25] 2025
3 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 (WHISPERS), Athens, Greece, 2023: 1-5. (EI会议)[PDF][BibTeX][Date:2024-02-19] 2023
2 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 (WHISPERS), Athens, Greece, 2023: 1-4. (EI会议)[PDF][BibTeX][Date:2024-02-19] 2023
1 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 (IGARSS), Kuala Lumpur, Malaysia, 2022: 3159-3162. (EI会议)[PDF][Code@Github][BibTeX][Date:2022-09-28] 2022