| ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification Z Cao, X Li, Y Feng, S Chen, C Xia, L Zhao Neurocomputing 460, 71-83, 2021 | 34 | 2021 |
| ALPN: Active-learning-based prototypical network for few-shot hyperspectral imagery classification X Li, Z Cao, L Zhao, J Jiang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 24 | 2021 |
| 3D convolutional siamese network for few-shot hyperspectral classification Z Cao, X Li, J Jianfeng, L Zhao Journal of Applied Remote Sensing 14 (4), 048504-048504, 2020 | 23 | 2020 |
| ROBYOL: Random-occlusion-based BYOL for hyperspectral image classification J Li, X Li, Z Cao, L Zhao IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 7 | 2022 |
| Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral classification Z Cao, X Li, L Zhao arXiv preprint arXiv:2009.00953, 2020 | 6 | 2020 |
| Object detection in VHR image using transfer learning with deformable convolution Z Cao, X Li, L Zhao IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 6 | 2019 |
| Semisupervised hyperspectral imagery classification based on a three-dimensional convolutional adversarial autoencoder model with low sample requirements Z Cao, X Li, L Zhao Journal of Applied Remote Sensing 14 (2), 024522-024522, 2020 | 3 | 2020 |
| Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising R Huang, X Li, Y Fang, Z Cao, C Xia Remote Sensing 15 (4), 1058, 2023 | 1 | 2023 |
| Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification H Wu, A Zhang, Z Cao arXiv preprint arXiv:2203.07000, 2022 | | 2022 |
