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Deep Unfolding Real-Time Super-Resolution Using Subpixel-Shift Twin Image and Convex Self-Similarity Prior
Chia-Hsiang Lin, Wei-Chih Liu, Yu-En Chiu +1
Multi-image super-resolution (MISR) is a critical technique for satellite remote sensing. In the perspective of information, twin-image super-resolution (TISR) is regarded as the m…
COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality
Chia-Hsiang Lin, Jui-Ting Chen, Zi-Chao Leng +1
The Sentinel-2 satellite, launched by the European Space Agency (ESA), offers extensive spatial coverage and has become indispensable in a wide range of remote sensing applications…
Quantum-Driven Multihead Inland Waterbody Detection With Transformer-Encoded CYGNSS Delay-Doppler Map Data
Chia-Hsiang Lin, Jhao-Ting Lin, Po-Ying Chiu +2
Inland waterbody detection (IWD) is critical for water resources management and agricultural planning. However, the development of high-fidelity IWD mapping technology remains unre…
PRIME: Blind Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry
Chia-Hsiang Lin, Jhao-Ting Lin
Multispectral unmixing (MU) is critical due to the inevitable mixed pixel phenomenon caused by the limited spatial resolution of typical multispectral images in remote sensing. How…