1 citations · 2 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…