Shengsang Yang

ORCID: 0009-0005-9635-7083
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About
Contact & Profiles
Research Areas
  • 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,...

10.1109/jstars.2023.3323502 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at glance that was extracted from about 200 leading journals. To access of an article which published elsewhere, please select “Full Text” option. The original trackable via the “References”

10.1002/chin.200835216 article EN ChemInform 2008-08-04
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