Jiang He, Dr.
| Tel: | +49-17635305980 |
| Fax: | |
| Room: | 221 |
| E-mail: | jiang.he(at)tum.de |
| More information: | Google Scholar Personal Website |
Curriculum Vitae
- Since 2024.08, Post-doc, TUM, Germany
- 2018.09 - 2024.06, PhD, Photogrammetry and remote sensing, Wuhan University, China
Research Interest
- Satellite Image/Vedio Processing
- Image Fusion
- Multi-task Collaboration
- Model&data-driven
- Machine Learning/Deep Learning
Key publications:
- J. He, Q. Yuan, J. Li, Y. Xiao, and L. Zhang, “A self-supervised remote sensing image fusion framework with dual-stage self-learning and spectral super-resolution injection,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 204, pp. 131-144, 2023.
- J. He, Q. Yuan, J. Li, Y. Xiao, D. Liu, H. Shen, and L. Zhang, “Spectral super-resolution meets deep learning: achievements and challenges,” Information Fusion, vol. 97, pp. 101812, 2023.
- J. He, Q. Yuan, J. Li, and L. Zhang, “PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images,” Information Fusion, vol. 80, pp. 205-225, 2022.
- J. He, Q. Yuan, J. Li, L. Zhang, “A Knowledge Optimization-driven Network with Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-sharpening,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5410716.
- J. He, J. Li, Q. Yuan, H. Shen, and L. Zhang, “Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 9, pp. 4213-4227, 2022.