| A low-rank and sparse matrix decomposition-based Mahalanobis distance method for hyperspectral anomaly detection Y Zhang, B Du, L Zhang, S Wang IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1376-1389, 2015 | 451 | 2015 |
| A sparse representation-based binary hypothesis model for target detection in hyperspectral images Y Zhang, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1346-1354, 2014 | 209 | 2014 |
| Beyond the sparsity-based target detector: A hybrid sparsity and statistics-based detector for hyperspectral images B Du, Y Zhang, L Zhang, D Tao IEEE Transactions on Image Processing 25 (11), 5345-5357, 2016 | 186 | 2016 |
| Joint sparse representation and multitask learning for hyperspectral target detection Y Zhang, B Du, L Zhang, T Liu IEEE Transactions on Geoscience and Remote Sensing 55 (2), 894-906, 2016 | 103 | 2016 |
| 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 | 87 | 2019 |
| A Siamese network based U-Net for change detection in high resolution remote sensing images T Chen, Z Lu, Y Yang, Y Zhang, B Du, A Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 85 | 2022 |
| 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 | 84 | 2020 |
| A nonlinear sparse representation-based binary hypothesis model for hyperspectral target detection Y Zhang, L Zhang, B Du, S Wang IEEE Journal of selected topics in applied earth observations and remote …, 2014 | 51 | 2014 |
| Joint weighted nuclear norm and total variation regularization for hyperspectral image denoising B Du, Z Huang, N Wang, Y Zhang, X Jia International Journal of Remote Sensing 39 (2), 334-355, 2018 | 46 | 2018 |
| Spatially adaptive sparse representation for target detection in hyperspectral images Y Zhang, B Du, Y Zhang, L Zhang IEEE Geoscience and Remote Sensing Letters 14 (11), 1923-1927, 2017 | 37 | 2017 |
| A hypothesis independent subpixel target detector for hyperspectral images B Du, Y Zhang, L Zhang, L Zhang Signal Processing 110, 244-249, 2015 | 35 | 2015 |
| 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 | 32 | 2023 |
| Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection Y Zhang, K Wu, B Du, X Hu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 32 | 2019 |
| Regularization framework for target detection in hyperspectral imagery Y Zhang, B Du, L Zhang IEEE Geoscience and Remote Sensing Letters 11 (1), 313-317, 2013 | 32 | 2013 |
| Hyperspectral target detection via adaptive joint sparse representation and multi-task learning with locality information Y Zhang, K Wu, B Du, L Zhang, X Hu Remote Sensing 9 (5), 482, 2017 | 25 | 2017 |
| Superpixel-based collaborative and low-rank regularization for sparse hyperspectral unmixing T Chen, Y Liu, Y Zhang, B Du, A Plaza IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 23 | 2022 |
| Deep metric learning with online hard mining for hyperspectral classification Y Dong, C Yang, Y Zhang Remote Sensing 13 (7), 1368, 2021 | 22 | 2021 |
| 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 | 18 | 2021 |
| Independent encoding joint sparse representation and multitask learning for hyperspectral target detection Y Zhang, W Ke, B Du, X Hu IEEE Geoscience and Remote Sensing Letters 14 (11), 1933-1937, 2017 | 17 | 2017 |
| SSMD: Dimensionality reduction and classification of hyperspectral images based on spatial–spectral manifold distance metric learning Y Jin, Y Dong, Y Zhang, X Hu IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 16 | 2022 |
Ke WuProfessorBestätigte E-Mail-Adresse bei cug.edu.cn