120 citations · 209 across the 5 of their papers we have counts for
5 papers
HYPERION: Hyperspectral Penetrating-type Ellipsoidal Reconstruction for Terahertz Blind Source Separation
Chia-Hsiang Lin, Yi-Chun Hung, Feng-Yu Wang +1
Terahertz (THz) technology has been a great candidate for applications, including pharmaceutic analysis, chemical identification, and remote sensing and imaging due to its non-inva…
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution
Chih-Chung Hsu, Chia-Hsiang Lin
Deep learning-based single image super-resolution enables very fast and high-visual-quality reconstruction. Recently, an enhanced super-resolution based on generative adversarial n…
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization
Chia-Hsiang Lin, Ruiyuan Wu, Wing-Kin Ma +2
Consider a structured matrix factorization model where one factor is restricted to have its columns lying in the unit simplex. This simplex-structured matrix factorization (SSMF) m…
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing
Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang +1
Hyperspectral unmixing (HU) is a crucial signal processing procedure to identify the underlying materials (or endmembers) and their corresponding proportions (or abundances) from a…
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case
Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li +2
In blind hyperspectral unmixing (HU), the pure-pixel assumption is well-known to be powerful in enabling simple and effective blind HU solutions. However, the pure-pixel assumption…