| Spatial–spectral fusion by combining deep learning and variational model H Shen, M Jiang, J Li, Q Yuan, Y Wei, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (8), 6169-6181, 2019 | 81 | 2019 |
| A differential information residual convolutional neural network for pansharpening M Jiang, H Shen, J Li, Q Yuan, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 163, 257-271, 2020 | 60 | 2020 |
| Coupling model-and data-driven methods for remote sensing image restoration and fusion: Improving physical interpretability H Shen, M Jiang, J Li, C Zhou, Q Yuan, L Zhang IEEE Geoscience and Remote Sensing Magazine 10 (2), 231-249, 2022 | 35 | 2022 |
| Physics-based GAN with iterative refinement unit for hyperspectral and multispectral image fusion J Xiao, J Li, Q Yuan, M Jiang, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 23 | 2021 |
| Generating high-quality and high-resolution seamless satellite imagery for large-scale urban regions X Li, Z Li, R Feng, S Luo, C Zhang, M Jiang, H Shen Remote Sensing 12 (1), 81, 2019 | 22 | 2019 |
| Self-supervised pansharpening based on a cycle-consistent generative adversarial network J Li, W Sun, M Jiang, Q Yuan IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 16 | 2021 |
| Hyperspectral and multispectral image fusion by deep neural network in a self-supervised manner J Gao, J Li, M Jiang Remote Sensing 13 (16), 3226, 2021 | 13 | 2021 |
| Deep-learning-based spatio-temporal-spectral integrated fusion of heterogeneous remote sensing images M Jiang, H Shen, J Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 12 | 2022 |
| Radiometric quality improvement of hyperspectral remote sensing images: a technical tutorial on variational framework J Li, H Shen, H Li, M Jiang, Q Yuan Journal of Applied Remote Sensing 15 (3), 031502-031502, 2021 | 8 | 2021 |
| Deep image interpolation: A unified unsupervised framework for pansharpening J Gao, J Li, X Su, M Jiang, Q Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Supervised and self-supervised learning-based cascade spatiotemporal fusion framework and its application W Sun, J Li, M Jiang, Q Yuan ISPRS Journal of Photogrammetry and Remote Sensing 203, 19-36, 2023 | 5 | 2023 |
| A deep learning-based heterogeneous spatio-temporal-spectral fusion: SAR and optical images M Jiang, J Li, H Shen 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1252 …, 2021 | 5 | 2021 |
| A mechanism-guided machine learning method for mapping gapless land surface temperature J Ma, H Shen, M Jiang, L Lin, C Meng, C Zeng, H Li, P Wu Remote Sensing of Environment 303, 114001, 2024 | 3 | 2024 |
| Cycle GAN Based Heterogeneous Spatial-Spectral Fusion for Soil Moisture Downscaling M Jiang, H Shen, J Li IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
| An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images M Jiang, H Shen, J Li, L Zhang arXiv preprint arXiv:2109.00400, 2021 | 3 | 2021 |
| Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion H Shen, M Jiang, J Li, C Zhou, Q Yuan, L Zhang arXiv preprint arXiv:2108.06073, 2021 | 3 | 2021 |
| Generalized spatio-temporal-spectral integrated fusion for soil moisture downscaling M Jiang, H Shen, J Li, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 218, 70-86, 2024 | 1 | 2024 |
| Unsupervised Pan-Sharpening Network Incorporating Imaging Spectral Prior and Spatial-Spectral Compensation H Shen, B Zhang, M Jiang, J Li IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| A physics-constrained machine learning method for mapping gapless land surface temperature J Ma, H Shen, M Jiang, L Lin, C Meng, C Zeng, H Li, P Wu arXiv preprint arXiv:2307.04817, 2023 | 1 | 2023 |
| Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion A Li, M Jiang, D Chu, X Guan, J Li, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
