Fast Unsupervised Spatiotemporal Super-Resolution for Multispectral Satellite Imaging Using Plug-and-Play Machinery Strategy. - Chia-Hsiang Lin; Cheng-Yu Sie; Pang-Yu Lin; Jhao-Ting Lin (IGARSS, 2021)

Real-Time Hyperspectral Anomaly Detection using Collaborative Superpixel Representation with Boundary Refinement. - Jhao-Ting Lin; Chia-Hsiang Lin (IGARSS, 2022)

A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution. - Pai-Chuan Chang; Jhao-Ting Lin; Chia-Hsiang Lin; Po-Wei Tang; Yangrui Liu (WHISPERS, 2022)

Optimization-Based Hyperspectral Spatiotemporal Super-Resolution. - Pai-Chuan Chang; Jhao-Ting Lin; Chia-Hsiang Lin; Po-Wei Tang; Yangrui Liu (IEEE Access, 2022)

CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection. - Si-Sheng Young; Chia-Hsiang Lin; Jhao-Ting Lin (WHISPERS, 2023)

CODE-IF: A Convex/Deep Image Fusion Algorithm for Efficient Hyperspectral Super-Resolution. - Chia-Hsiang Lin; Cheng-Ying Hsieh; Jhao-Ting Lin (IEEE Trans. Geosci. Remote. Sens., 2024)

SuperRPCA: A Collaborative Superpixel Representation Prior-Aided RPCA for Hyperspectral Anomaly Detection. - Jhao-Ting Lin; Chia-Hsiang Lin (IEEE Trans. Geosci. Remote. Sens., 2024)

PRIME: Unsupervised Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry. - Chia-Hsiang Lin; Jhao-Ting Lin (IEEE Trans. Geosci. Remote. Sens., 2025)