most citedUnderdetermined Blind Source Separation via Weighted Simplex Shrinkage Regularization and Quantum Deep Image Prior

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2026

Interpretable Landsat-to-Hyperspectral Dual Super-Resolution Without Large Matrix Inversion

Chia-Hsiang Lin, Jian-Kai Huang, Si-Sheng Young +1

Direct acquisition of global hyperspectral images (HSIs) is infeasible given contemporary hardware facilities and limited resources, while global hyperspectral monitoring is critic…

eess.IV2026

Anti-Hyperspectral Anomaly Detection: A First Study on Stealthy Lipschitz-Forcing Perturbations Against Unknown Detectors

Chia-Hsiang Lin, Si-Sheng Young, Jon Atli Benediktsson

Hyperspectral imagery represents the best contemporary technology to remotely detect anomalous objects. Nevertheless, hyperspectral anomaly detection (HAD) technique makes ground f…

eess.IV2026★ 1 cited

Hyperspectral Anomaly Detection Using Einstein Fuzzy Computing and Quantum Neural Network

Chia-Hsiang Lin, Si-Sheng Young, Reza Langari

In the remote sensing (RS) field, hyperspectral imagery provides rich spectral information and facilitates numerous critical applications, such as material identification. Among th…

eess.IV2026★ 1 cited

Underdetermined Blind Source Separation via Weighted Simplex Shrinkage Regularization and Quantum Deep Image Prior

Chia-Hsiang Lin, Si-Sheng Young

As most optical satellites remotely acquire multispectral images (MSIs) with limited spatial resolution, multispectral unmixing (MU) becomes a critical signal processing technology…

eess.IV2026

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

Si-Sheng Young, Chia-Hsiang Lin

The European Space Agency's Sentinel-2 satellite provides global multispectral coverage for remote sensing (RS) applications. However, limited spectral resolution (12 bands) and no…

eess.IV2025

HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration

Chia-Hsiang Lin, Si-Sheng Young

Quantum machine intelligence starts showing its impact on satellite remote sensing (SRS). Also, recent literature exhibits that quantum generative intelligences encompass superior…