SQUARE-Mamba: A quantum-driven Mamba drought forecasting algorithm

• P.-W. Tang, Chia-Hsiang Lin, et al., “A quantum-empowered SPEI drought forecasting algorithm using spatially-aware Mamba network,” IEEE Transactions on Geoscience and Remote Sensing, 2025.

QUEEN-G: A quantum-inspired hyperspectral change detection algorithm

• Chia-Hsiang Lin, et al., “Quantum information-empowered graph neural network for hyperspectral change detection,” IEEE Transactions on Geoscience and Remote Sensing, 2024.

QEDNet: A quantum-inspired mangrove mapping algorithm

• Chia-Hsiang Lin, et al., “Quantum feature-empowered deep classification for fast mangrove mapping,” IEEE Transactions on Geoscience and Remote Sensing, 2024.

SuperRPCA: A hyperspectral anomaly detection algorithm

• J.-T. Lin, and Chia-Hsiang Lin, “SuperRPCA: A collaborative superpixel representation prior-aided RPCA for hyperspectral anomaly detection,” IEEE Transactions on Geoscience and Remote Sensing, 2024.

TGFA-AD: A hyperspectral anomaly detection algorithm

• S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for hyperspectral anomaly detection,” IEEE Transactions on Neural Networks and Learning Systems, 2024.

CODE-IF: An image fusion algorithm for hyperspectral super-resolution

• Chia-Hsiang Lin, et al., “CODE-IF: A convex/deep image fusion algorithm for efficient hyperspectral super-resolution,” IEEE Trans. Geoscience and Remote Sensing, 2024.

SISHY: A principal component analysis (PCA) algorithm for incompletely observed data matrix

• Chia-Hsiang Lin, et al., “Signal subspace identification for incomplete hyperspectral image with applications to various inverse problems,” IEEE Trans. Geoscience and Remote Sensing, 2024.

T2HyDHZ: A hyperspectral image dehazing algorithm

• P.-W. Tang, Chia-Hsiang Lin, et al.,“Transformer-driven inverse problem transform for fast blind hyperspectral image dehazing,” IEEE Transactions on Geoscience and Remote Sensing, 2023.

CODE-MM: A hyperspectral (or multispectral) mangrove mapping algorithm

• Chia-Hsiang Lin, et al., “CODE-MM: Convex deep mangrove mapping algorithm based on optical satellite images,” IEEE Trans. Geoscience and Remote Sensing, 2023.

CODE-HCD: A hyperspectral change detection algorithm

• T.-H. Lin, and Chia-Hsiang Lin, “Hyperspectral change detection using semi-supervised graph neural network and convex deep learning,” IEEE Trans. Geoscience and Remote Sensing, 2023.

FACHTC : A hyperspectral tensor completion algorithm

• Chia-Hsiang Lin, et al., “Hyperspectral tensor completion using low-rank modeling and convex functional analysis,” IEEE Trans. Neural Networks and Learning Systems, 2023.

ADMM-ADAM : A small-data machine learning algorithm

• Chia-Hsiang Lin, et al., “ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2021.

AAHCSD : A hyperspectral compressed sensing algorithm

• Chia-Hsiang Lin, et al., “All-addition hyperspectral compressed sensing for metasurface-driven miniaturized satellite,” IEEE Trans. Geoscience and Remote Sensing, 2021.

HiSun : A non-negative blind source separation (nBSS) algorithm

• Chia-Hsiang Lin, et al., “Nonnegative blind source separation for ill-conditioned mixtures via John ellipsoid,” IEEE Trans. Neural Networks and Learning Systems, 2020.

SSSS : A multi-resolution satellite analysis algorithm

• Chia-Hsiang Lin, et al., “An explicit and scene-adapted definition of convex self-similarity prior with application to unsupervised Sentinel-2 super-resolution,” IEEE Trans. Geoscience and Remote Sensing, 2020.

• Check also NCKU Research Express [成大研發快訊]!

CO-CNMF : A hyperspectral super-resolution (HySure) algorithm

• Chia-Hsiang Lin, et al., “A convex optimization based coupled non-negative matrix factorization algorithm for hyperspectral and multispectral data fusion,” IEEE Trans. Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1652-1667, Mar. 2018.

MDL : A source detection algorithm

• Chia-Hsiang Lin, et al., “Detection of sources in non-negative blind source separation by minimum description length criterion,” IEEE Trans. Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4022-4037, Sep. 2018.

HyperCSI : A non-negative matrix factorization (NMF) algorithm

• Chia-Hsiang Lin, et al., “A fast hyperplane-based minimum-volume enclosing simplex algorithm for blind hyperspectral unmixing,” IEEE Trans. Signal Processing, vol. 64, no. 8, pp. 1946-1961, Apr. 2016.