World's Best Scientists 2026 revealed!

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Computer Science

D-Index
55
Citations
11409
World Ranking
4342
National Ranking
576

Overview

Hongyan Zhang is affiliated with China University of Geosciences in China. Their research primarily spans several fields including Engineering, Environmental Science, and Computer Science, with a notable focus on subfields such as Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Global and Planetary Change, and Ecology.

Their scholarly contributions address a range of topics centered on remote sensing and image processing. The main topics of their research include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Remote Sensing in Agriculture
  • Image and Signal Denoising Methods
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services

Among their recent publications are the following papers:

  • "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation," 2020, IEEE Geoscience and Remote Sensing Magazine
  • "SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data," 2023, Earth System Science Data
  • "Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images," 2021, IEEE Transactions on Neural Networks and Learning Systems

Zhang frequently publishes in the following venues:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • ISPRS Journal of Photogrammetry and Remote Sensing

Collaboration is a significant component in Zhang's research, with frequent co-authors including Wei He, Zhuohong Li, Guangyi Yang, Liangpei Zhang, and Jingxin Hu.

Best Publications

  • Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

    Hongyan Zhang;Wei He;Liangpei Zhang;Huanfeng Shen

  • Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks

    Xian Tao;Dapeng Zhang;Zihao Wang;Xilong Liu

  • Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • Image super-resolution

    Linwei Yue;Huanfeng Shen;Jie Li;Qiangqiang Yuan

  • A super-resolution reconstruction algorithm for surveillance images

    Liangpei Zhang;Hongyan Zhang;Huanfeng Shen;Pingxiang Li

  • A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery

    Hongyan Zhang;Jiayi Li;Yuancheng Huang;Liangpei Zhang

  • Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

    Xinghua Li;Huanfeng Shen;Liangpei Zhang;Hongyan Zhang

  • Hyperspectral Anomaly Detection by the Use of Background Joint Sparse Representation

    Jiayi Li;Hongyan Zhang;Liangpei Zhang;Li Ma

  • Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • On the Applications of Robust PCA in Image and Video Processing

    Thierry Bouwmans;Sajid Javed;Hongyang Zhang;Zhouchen Lin

  • Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

    Wei He;Hongyan Zhang;Liangpei Zhang

  • Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images

    Hongyan Zhang;Han Zhai;Liangpei Zhang;Pingxiang Li

  • Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial–Spectral Total Variation

    Wei He;Hongyan Zhang;Huanfeng Shen;Liangpei Zhang

  • Hyperspectral Image Restoration Using Low-Rank Tensor Recovery

    Haiyan Fan;Yunjin Chen;Yulan Guo;Hongyan Zhang

  • A super-resolution reconstruction algorithm for hyperspectral images

    Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • A Practical Compressed Sensing-Based Pan-Sharpening Method

    Cheng Jiang;Hongyan Zhang;Huanfeng Shen;Liangpei Zhang

  • Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition

    Hongyan Zhang;Lu Liu;Wei He;Liangpei Zhang

  • Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration.

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

  • Hyperspectral Image Classification by Nonlocal Joint Collaborative Representation With a Locally Adaptive Dictionary

    Jiayi Li;Hongyan Zhang;Yuancheng Huang;Liangpei Zhang

  • Adjustable Model-Based Fusion Method for Multispectral and Panchromatic Images

    Liangpei Zhang;Huanfeng Shen;Wei Gong;Hongyan Zhang

  • SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data

    Unknown

  • A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation

    Xiangchao Meng;Yiming Xiong;Feng Shao;Huanfeng Shen

  • Cloud/shadow detection based on spectral indices for multi/hyperspectral optical remote sensing imagery

    Han Zhai;Hongyan Zhang;Liangpei Zhang;Pingxiang Li

  • Efficient Superpixel-Level Multitask Joint Sparse Representation for Hyperspectral Image Classification

    Jiayi Li;Hongyan Zhang;Liangpei Zhang

  • Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Huanfeng Shen
Huanfeng Shen Wuhan University
Pingxiang Li
Pingxiang Li Wuhan University
Wenzhi Liao
Wenzhi Liao Ghent University
Aleksandra Pizurica
Aleksandra Pizurica Ghent University
Qiangqiang Yuan
Qiangqiang Yuan Wuhan University
Wilfried Philips
Wilfried Philips Ghent University
Naoto Yokoya
Naoto Yokoya University of Tokyo
Lefei Zhang
Lefei Zhang Wuhan University
Qian Du
Qian Du Mississippi State University

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