most citedSpectraMorph: Structured Latent Learning for Self-Supervised Hyperspectral Super-Resolution

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eess.IV2026

HyperBench: Standardizing and Scaling Synthetic Evaluation for Hyperspectral Super-Resolution

Ritik Shah, Marco F. Duarte

Hyperspectral super-resolution (HSR) reconstructs a high-spatial-resolution hyperspectral image by fusing a low-resolution hyperspectral image (LR-HSI) with a high-resolution multi…

eess.IV2025

SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution

Ritik Shah, Marco F. Duarte

High-spatial-resolution hyperspectral images (HSI) are essential for applications such as remote sensing and medical imaging, yet HSI sensors inherently trade spatial detail for sp…