Publications

Journals:

[1] 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.(中科院二区, IF:5.343)
[2] Zhe Meng*, Feng Zhao, Miaomiao Liang, and Wen Xie. Deep residual involution network for hyperspectral image classification[J]. Remote Sensing, 2021, 13(16): 3055.(中科院二区Top, IF:5.349)
[3] 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.(中科院二区, IF:4.715)
[4] 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.(中科院二区Top, IF:5.349)
[5] 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.(中科院二区Top, IF:5.349)
[6] 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.(中科院二区Top, IF:5.349)
[7] 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 (GRSL), 2022, 19: 6014205. (中科院二区, IF:5.343)
[8] 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 (ESWA), 2023, 234: 121032. (SCI一区Top, IF:8.5)
[9] 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.(中科院二区Top, IF:5.349)
[10] Miaomiao Liang, Huai Wang, Xiangchun Yu*, Zhe Meng, Jianbing Yi, and Licheng Jiao. Lightweight multilevel feature fusion network for hyperspectral images classification[J]. Remote Sensing, 2022, 14(1): 79.(中科院二区Top, IF:5.349)
[11] Miaomiao Liang, Qinghua He, Xiangchun Yu*, Huai Wang, Zhe Meng, and Licheng Jiao. A dual multi-head contextual self-attention network for hyperspectral image classification[J]. Remote Sensing, 2022, 14(13):3091. (中科院二区Top, IF:5.349)
[12] 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 (TGRS), 2023, 61: 5530713. (中科院一区Top, IF:8.2)
[13] Miaomiao Liang*, Licheng Jiao, and Zhe Meng. A superpixel-based relational autoencoder for feature extraction of hyperspectral images[J]. Remote Sensing, 2019, 11(20): 2454.(中科院二区Top, IF:5.349)

Conferences

[1] Zhe Meng*, Qian Yan, Feng Zhao, and Miaomiao Liang. Multi-scale feature attention and transformer for hyperspectral image classification[C]//Proceeding of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Athens, Greece, 2023: 1-5.(EI会议论文)
[2] Zhe Meng*, Qian Yan, Feng Zhao, and Miaomiao Liang. Hyperspectral image classification with dynamic spatial-spectral attention network[C]//Proceeding of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Athens, Greece, 2023: 1-4.(EI会议论文)
[3] Zhe Meng, Junjie Zhang, Feng Zhao*, Hanqiang Liu, and Zhenhui Chang. Residual dense asymmetric convolutional neural network for hyperspectral image classification[C]// Proceeding of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Kuala Lumpur, Malaysia, 2022: 3159-3162. (EI会议论文)

发明专利

[1] 孟哲,张泰政,赵凤,陈改革,梁苗苗,基于超级词元Transformer的高光谱图像分类方法及装置,中国,申请号:202311761296.4。
[2] 孟哲,张泰政,闫芊,赵凤,陈改革,梁苗苗,基于轻量级多尺度Transformer网络的高光谱图像分类方法及系统,中国,申请号:202311760700.6。
[3] 孟哲,闫芊,岳攀,赵凤,益琛,陈改革,梁苗苗,基于动态卷积Transformer的高光谱图像分类方法及系统,中国,申请号:202311760963.7。