2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation
Chia-Hsiang Lin, Shih-Min Hsu, Ching-Yun Liang +2
Hyperspectral change detection (HCD) has found numerous key applications, such as land cover monitoring. The majority of benchmark HCD algorithms are semi-supervised methods, and s…
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…
Deep Unfolding Real-Time Super-Resolution Using Subpixel-Shift Twin Image and Convex Self-Similarity Prior
Chia-Hsiang Lin, Wei-Chih Liu, Yu-En Chiu +1
Multi-image super-resolution (MISR) is a critical technique for satellite remote sensing. In the perspective of information, twin-image super-resolution (TISR) is regarded as the m…