[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, Early Access, doi: 10.1109/LGRS.2021.3069202. [中科院2区] [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. [TOP期刊，中科院2区] [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3区] [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. [TOP期刊，中科院2区] [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. [TOP期刊，中科院2区] [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. [TOP期刊，中科院2区] [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, 2022, Early Access, doi: 10.1109/LGRS.2022.3208935. [中科院2区] [8] 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. [TOP期刊，中科院2区] 会议 [1] 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). 2022: 3159-3162. [EI会议论文] |
