- Dementia and Cognitive Impairment Research
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Chronic Disease Management Strategies
- Molecular spectroscopy and chirality
- Stroke Rehabilitation and Recovery
- Machine Learning in Materials Science
- Computational Drug Discovery Methods
- Image and Signal Denoising Methods
Shandong University
2025
Aerospace Information Research Institute
2023
Chinese Academy of Sciences
2023
University of Chinese Academy of Sciences
2023
National University of Singapore
2008
Pansharpening is crucial for obtaining high-resolution multispectral images. Existing deep learning-based pansharpening networks rely on supervised learning with external reference labels. Due to the lack of actual fusion results labeling, simulated degraded data used original image as result label. This process steps are cumbersome, which also leads problem scale degradation, and relationship between before after degradation cannot represent real relationship. To address these limitations,...
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