| Hyperspectral pansharpening with guided filter J Qu, Y Li, W Dong IEEE Geoscience and Remote Sensing Letters 14 (11), 2152-2156, 2017 | 34 | 2017 |
| Hyperspectral pansharpening via improved PCA approach and optimal weighted fusion strategy Y Li, J Qu, W Dong, Y Zheng Neurocomputing 315, 371-380, 2018 | 32 | 2018 |
| Structure tensor-based algorithm for hyperspectral and panchromatic images fusion J Qu, J Lei, Y Li, W Dong, Z Zeng, D Chen Remote Sensing 10 (3), 373, 2018 | 32 | 2018 |
| Laplacian pyramid dense network for hyperspectral pansharpening W Dong, T Zhang, J Qu, S Xiao, J Liang, Y Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 31 | 2021 |
| Generative dual-adversarial network with spectral fidelity and spatial enhancement for hyperspectral pansharpening W Dong, S Hou, S Xiao, J Qu, Q Du, Y Li IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7303-7317, 2021 | 28 | 2021 |
| Anomaly detection in hyperspectral imagery based on Gaussian mixture model J Qu, Q Du, Y Li, L Tian, H Xia IEEE Transactions on Geoscience and Remote Sensing 59 (11), 9504-9517, 2020 | 24 | 2020 |
| Dual-branch difference amplification graph convolutional network for hyperspectral image change detection J Qu, Y Xu, W Dong, Y Li, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 14 | 2021 |
| Hyperspectral and panchromatic image fusion via adaptive tensor and multi-scale retinex algorithm J Qu, Y Li, Q Du, H Xia IEEE Access 8, 30522-30532, 2020 | 14 | 2020 |
| Fusion of hyperspectral and panchromatic images using structure tensor and matting model W Dong, S Xiao, J Liang, J Qu Neurocomputing 399, 237-246, 2020 | 12 | 2020 |
| Fusion of hyperspectral and panchromatic images using an average filter and a guided filter J Qu, Y Li, W Dong Journal of Visual Communication and Image Representation 52, 151-158, 2018 | 12 | 2018 |
| MSSL: Hyperspectral and panchromatic images fusion via multiresolution spatial–spectral feature learning networks J Qu, Y Shi, W Xie, Y Li, X Wu, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 10 | 2021 |
| An improved hyperspectral pansharpening algorithm based on optimized injection model W Dong, S Xiao, X Xue, J Qu IEEE Access 7, 16718-16729, 2019 | 10 | 2019 |
| Guided filter and principal component analysis hybrid method for hyperspectral pansharpening J Qu, Y Li, W Dong Journal of Applied Remote Sensing 12 (1), 015003-015003, 2018 | 10 | 2018 |
| A dual-branch detail extraction network for hyperspectral pansharpening J Qu, S Hou, W Dong, S Xiao, Q Du, Y Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 9 | 2021 |
| Fusion of hyperspectral and panchromatic images using generative adversarial network and image segmentation W Dong, Y Yang, J Qu, W Xie, Y Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 9 | 2021 |
| A multilevel encoder–decoder attention network for change detection in hyperspectral images J Qu, S Hou, W Dong, Y Li, W Xie IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 7 | 2021 |
| Spectral distribution-aware estimation network for hyperspectral anomaly detection W Xie, S Fan, J Qu, X Wu, Y Lu, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 6 | 2021 |
| Hyperspectral pansharpening based on homomorphic filtering and weighted tensor matrix J Qu, Y Li, Q Du, W Dong, B Xi Remote Sensing 11 (9), 1005, 2019 | 6 | 2019 |
| Multibranch feature fusion network with self-and cross-guided attention for hyperspectral and LiDAR classification W Dong, T Zhang, J Qu, S Xiao, T Zhang, Y Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 4 | 2022 |
| Hyperspectral pansharpening via local intensity component and local injection gain estimation W Dong, Y Yang, J Qu, S Xiao, Q Du IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 4 | 2021 |
