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Chia-Hsiang Lin

2 accepted papers

2026

Spectral Super-Resolution via Adversarial Unfolding and Data-Driven Spectrum Regularization: From Multispectral Satellite Data to NASA Hyperspectral Image

CVPR 2026

The European Space Agency's Sentinel-2 satellite provides global multispectral coverage for remote sensing (RS) applications. However, limited spectral resolution (12 bands) and non-unified spatial resolution (60/20/10 m) restrict their practicality. In contrast, the high spectral-spatial resolution

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2015

A fast hyperplane-based MVES algorithm for hyperspectral unmixing

ICASSP 2015accepted

Hyperspectral unmixing (HU) is an essential signal processing procedure for blindly extracting the hidden spectral signatures of materials (or endmembers) from observed hyperspectral imaging data. Craig's criterion, stating that the vertices of the minimum volume enclosing simplex (MVES) of the data…

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