Towards Reliable Satellite Image Generative Models: Ultra-Fast Hyperspectral Images Compressed Sensing and Fusion
This research develops innovative hyperspectral satellite imagery sensing, fusion, and secure transmission technologies. By combining the advantages of multispectral and hyperspectral images, it enhances both spatial and spectral resolution. It also integrates deep learning and deepfake image recognition mechanisms with the technology published in top-tier journals like IEEE TGRS. This technology not only improves image transmission efficiency but also ensures image authenticity.
National Cheng Kung University (NCKU) envisions its campus as a place that nurtures imagination, grounded in solid academic research and high-quality learning. The university is committed to fostering urban development and global sustainability as part of its centennial mission. By breaking institutional barriers and strengthening interdisciplinary teaching and research, NCKU encourages students to recognize social issues, produce research that meets societal needs, and actively engage in solving global challenges—reflecting its responsibility as a leading university.
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Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
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