Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability
Published:Dec 22, 2025 15:43
•1 min read
•ArXiv
Analysis
This article presents research on hyperspectral super-resolution, focusing on improving the modeling of endmember variability within coupled tensor analysis. The research likely explores new methods or refinements to existing techniques for processing hyperspectral data, aiming to enhance image resolution and accuracy. The use of 'recoverable modeling' suggests a focus on robust and reliable data reconstruction despite variations in the spectral signatures of endmembers.
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Reference
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