H
Hongyan Zhang
Researcher at Wuhan University
Publications - 142
Citations - 6952
Hongyan Zhang is an academic researcher from Wuhan University. The author has contributed to research in topics: Hyperspectral imaging & Computer science. The author has an hindex of 32, co-authored 119 publications receiving 4597 citations. Previous affiliations of Hongyan Zhang include Mississippi State University & Ghent University.
Papers
More filters
Journal ArticleDOI
Hyperspectral Image Restoration Using Low-Rank Matrix Recovery
TL;DR: A new HSI restoration method based on low-rank matrix recovery (LRMR), which can simultaneously remove the Gaussian noise, impulse noise, dead lines, and stripes, is introduced.
Journal ArticleDOI
Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration
TL;DR: A spatial spectral hyperspectral image (HSI) mixed-noise removal method named total variation (TV)-regularized low-rank matrix factorization (LRTV) that integrates the nuclear norm, TV regularization, and L1-norm together in a unified framework for HSI restoration.
Journal ArticleDOI
Image super-resolution
TL;DR: This paper aims to provide a review of SR from the perspective of techniques and applications, and especially the main contributions in recent years, and discusses the current obstacles for future research.
Journal ArticleDOI
A super-resolution reconstruction algorithm for surveillance images
TL;DR: An edge-preserving maximum a posteriori (MAP) estimation based super-resolution algorithm using a weighted directional Markov image prior model for a ROI from more than one low-resolution surveillance image is proposed.
Journal ArticleDOI
A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery
TL;DR: The simultaneous orthogonal matching pursuit technique is used to solve the nonlocal weighted joint sparsity model (NLW-JSM) and the proposed classification algorithm performs better than the other sparsity-based algorithms and the classical support vector machine hyperspectral classifier.