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D-Index & Metrics

Computer Science

D-Index
37
Citations
6682
World Ranking
10645
National Ranking
103

Overview

Wenzhi Liao is affiliated with Ghent University in Belgium, contributing extensively to the fields of Engineering and Computer Science. Their research portfolio includes 54 publications in Engineering and 35 publications in Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering, Artificial Intelligence, and Mechanical Engineering.

Liao's main topics of work encompass Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Image and Signal Denoising Methods, Industrial Vision Systems and Defect Detection, Remote Sensing in Agriculture, Advanced Neural Network Applications, and Infrastructure Maintenance and Monitoring.

The scientist has published numerous articles in prominent venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing (6 publications)
  • IEEE Transactions on Instrumentation and Measurement (3 publications)
  • IEEE Transactions on Neural Networks and Learning Systems (2 publications)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 publications)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2 publications)

Frequent coauthors working with Liao include Wilfried Philips, Lianfang Tian, Qiliang Du, Xudong Zhao, and Ran Tao.

Selected recent papers authored by or involving Wenzhi Liao are:

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution, 2021, IEEE Transactions on Image Processing
  • Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification, 2022, IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

    Pedram Ghamisi;Naoto Yokoya;Jun Li;Wenzhi Liao

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

  • Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising

    Jize Xue;Yongqiang Zhao;Wenzhi Liao;Jonathan Cheung-Wai Chan

  • Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images

    Wenzhi Liao;A. Pizurica;P. Scheunders;W. Philips

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture

    Xudong Zhao;Ran Tao;Wei Li;Heng-Chao Li

  • Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features

    Wenzhi Liao;Aleksandra Pizurica;Rik Bellens;Sidharta Gautama

  • Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion.

    Jize Xue;Yongqiang Zhao;Shaoguang Huang;Wenzhi Liao

  • Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution

    Jize Xue;Yong-Qiang Zhao;Yuanyang Bu;Wenzhi Liao

  • Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution

    Ke Zheng;Lianru Gao;Wenzhi Liao;Danfeng Hong

  • Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

    Junfeng Gao;Wenzhi Liao;David Nuyttens;Peter Lootens

  • Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification.

    Unknown

  • Classification of Hyperspectral Data Over Urban Areas Using Directional Morphological Profiles and Semi-Supervised Feature Extraction

    Wenzhi Liao;R. Bellens;A. Pizurica;W. Philips

  • Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising

    Jize Xue;Yongqiang Zhao;Wenzhi Liao;Seong G. Kong

  • Frequency‐to‐spectrum mapping GAN for semisupervised hyperspectral anomaly detection

    Unknown

  • Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification

    Haoyang Yu;Lianru Gao;Wenzhi Liao;Bing Zhang

  • Fractional Gabor convolutional network for multisource remote sensing data classification

    Xudong Zhao;Ran Tao;Wei Li;Wilfried Philips

  • Enhanced Sparsity Prior Model for Low-Rank Tensor Completion

    Jize Xue;Yongqiang Zhao;Wenzhi Liao;Jonathan Cheung-Wai Chan

  • Detecting Road Intersections from GPS Traces Using Longest Common Subsequence Algorithm

    Xingzhe Xie;Wenzhi Liao;Hamid K. Aghajan;Peter Veelaert

  • Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data

    Wenzhi Liao;Rik Bellens;Aleksandra Pizurica;Sidharta Gautama

  • Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification

    Haoyang Yu;Lianru Gao;Wenzhi Liao;Bing Zhang

  • Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction

    Jize Xue;Yongqiang Zhao;Wenzhi Liao;Jonathan Cheung-Wai Chan

Frequent Co-Authors

Wilfried Philips
Wilfried Philips Ghent University
Aleksandra Pizurica
Aleksandra Pizurica Ghent University
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Bing Zhang
Bing Zhang Chinese Academy of Sciences
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Jonathan Cheung-Wai Chan
Jonathan Cheung-Wai Chan Vrije Universiteit Brussel
Paul Scheunders
Paul Scheunders University of Antwerp
Liangpei Zhang
Liangpei Zhang Wuhan University

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