| Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection HC Li, G Yang, W Yang, Q Du, WJ Emery ISPRS Journal of Photogrammetry and Remote Sensing 160, 167-179, 2020 | 53 | 2020 |
| Hyperspectral image classification based on capsule network WY Wang, HC Li, L Pan, G Yang, Q Du IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 26 | 2018 |
| Unsupervised change detection of SAR images based on variational multivariate Gaussian mixture model and Shannon entropy G Yang, HC Li, W Yang, K Fu, YJ Sun, WJ Emery IEEE Geoscience and Remote Sensing Letters 16 (5), 826-830, 2018 | 23 | 2018 |
| Unsupervised change detection based on a unified framework for weighted collaborative representation with RDDL and fuzzy clustering G Yang, HC Li, WY Wang, W Yang, WJ Emery IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8890-8903, 2019 | 15 | 2019 |
| Variational Bayesian change detection of remote sensing images based on spatially variant Gaussian mixture model and separability criterion G Yang, HC Li, W Yang, K Fu, T Celik, WJ Emery IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 14 | 2019 |
| Change Detection of Remote Sensing Images based on Weighted Nonnegative Matrix Factorization H Wu, HC Li, G Yang, W Yang 2019 10th International Workshop on the Analysis of Multitemporal Remote …, 2019 | 5 | 2019 |
| Robust semi‐NMF with total variation for unsupervised SAR image change detection HC Li, QH Zhao, G Yang, K Fu, WJ Emery Electronics Letters 54 (14), 892-894, 2018 | 4 | 2018 |
| Deep semi-nonnegative matrix factorization based unsupervised change detection of remote sensing images G Yang, HC Li, W Yang, WJ Emery IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 3 | 2018 |
| Unsupervised change detection of remote sensing images using superpixel segmentation and variational Gaussian mixture model G Yang, HC Li, C Liu 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 3 | 2017 |
| 层次极限学习机用于高光谱图像预测绝缘子污秽度 杨刚， 李恒超， 谭蓓， 石超群， 张血琴， 郭裕钧， 吴广宁 西南交通大学学报, 2019 | 2 | 2019 |
| 基于高光谱成像技术的绝缘子污秽度预测 李恒超， 谭蓓， 杨刚， 石超群， 张血琴， 吴广宁 西南交通大学学报 54 (4), 686-693, 2019 | | 2019 |
