| Weighted feature fusion of convolutional neural network and graph attention network for hyperspectral image classification Y Dong, Q Liu, B Du, L Zhang IEEE Transactions on Image Processing 31, 1559-1572, 2022 | 285 | 2022 |
| Target Detection Based on Random Forest Metric Learning Y Dong, B Du, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 146 | 2015 |
| Dimensionality reduction and classification of hyperspectral images using ensemble discriminative local metric learning Y Dong, B Du, L Zhang, L Zhang IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2509-2524, 2017 | 135 | 2017 |
| Semisupervised classification based on SLIC segmentation for hyperspectral image Y Zhang, K Liu, Y Dong, K Wu, X Hu IEEE Geoscience and Remote Sensing Letters 17 (8), 1440-1444, 2019 | 80 | 2019 |
| Spectral–spatial weighted kernel manifold embedded distribution alignment for remote sensing image classification Y Dong, T Liang, Y Zhang, B Du IEEE Transactions on Cybernetics 51 (6), 3185-3197, 2020 | 78 | 2020 |
| Mapping geochemical anomalies through integrating random forest and metric learning methods Z Wang, R Zuo, Y Dong Natural Resources Research 28, 1285-1298, 2019 | 52 | 2019 |
| Mapping geochemical anomalies related to Fe–polymetallic mineralization using the maximum margin metric learning method Z Wang, Y Dong, R Zuo Ore Geology Reviews 107, 258-265, 2019 | 45 | 2019 |
| Hyperspectral target detection via adaptive information—Theoretic metric learning with local constraints Y Dong, B Du, L Zhang, X Hu Remote sensing 10 (9), 1415, 2018 | 42 | 2018 |
| Asymmetric weighted logistic metric learning for hyperspectral target detection Y Dong, W Shi, B Du, X Hu, L Zhang IEEE Transactions on Cybernetics 52 (10), 11093-11106, 2021 | 41 | 2021 |
| A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification Q Liu, Y Dong, Y Zhang, H Luo IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 37 | 2022 |
| Maximum margin metric learning based target detection for hyperspectral images Y Dong, L Zhang, L Zhang, B Du ISPRS Journal of Photogrammetry and Remote Sensing 108, 138-150, 2015 | 30 | 2015 |
| Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine Z Wang, R Zuo, Y Dong Computers & Geosciences 138, 104455, 2020 | 23 | 2020 |
| Self-supervised pretraining via multimodality images with transformer for change detection Y Zhang, Y Zhao, Y Dong, B Du IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | 22 | 2023 |
| Exploring locally adaptive dimensionality reduction for hyperspectral image classification: A maximum margin metric learning aspect Y Dong, B Du, L Zhang, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 22 | 2016 |
| Deep metric learning with online hard mining for hyperspectral classification Y Dong, C Yang, Y Zhang Remote Sensing 13 (7), 1368, 2021 | 21 | 2021 |
| Analysis of temporal and spatial characteristics of urban expansion in Xiaonan District from 1990 to 2020 using time series Landsat imagery Y Liu, R Zuo, Y Dong Remote Sensing 13 (21), 4299, 2021 | 20 | 2021 |
| The use of 1572 nm Mie LiDAR for observation of the optical properties of aerosols over Wuhan, China W Gong, X Ma, Y Dong, H Lin, J Li Optics & Laser Technology 56, 52-57, 2014 | 18 | 2014 |
| Hyperspectral anomaly detection with Otsu-based isolation forest Y Zhang, Y Dong, K Wu, T Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 17 | 2021 |
| Attention-based dynamic alignment and dynamic distribution adaptation for remote sensing cross-domain scene classification C Yang, Y Dong, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 16 | 2022 |
| Enhanced spectral–spatial residual attention network for hyperspectral image classification Y Zhan, K Wu, Y Dong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 15 | 2022 |
bo duSchool of Computer Science, Wuhan University在 whu.edu.cn 的电子邮件经过验证
