| 1 |
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. (一区)[Link] |
| 2 |
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)[Link] |
| 3 |
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. (二区)[Link] |
| 4 |
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. (三区)[Link] |
| 5 |
Feng Zhao, Shijie Li, Junjie Zhang, and Hanqiang Liu, Convolution transformer fusion splicing network for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5501005. (三区)[Link] |
