Photo of Wenzhi Liao

Wenzhi Liao

Dr, Computer Science Engineering

  • United Kingdom

Accepting PhD Students

Willing to speak to media

20092019
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Personal profile

Personal Statement

Wenzhi Liao is a Lecturer in the Department of Electronic and Electrical Engineering. Before joining in the University of Strathclyde, Dr. Liao was awarded a prestigious Fellowship from Flanders Research Foundation (FWO) to conduct fundamental and industrial research in Remote Sensing and Hyperspectral Imaging at Ghent University with IMEC (Leuven, Belgium). His research interests include Image Processing and Interpretation (ranging from remote sensing to microscopy), Multisensor Data Fusion and Pattern Recognition. In particular, he has coordinated several national and international projects, and successfully applied his developed methods in the fields of optical hyperspectral image restoration and interpretation, data fusion and classification of multi-modal remote sensing imagery for Earth observation, food sorting and precision agriculture. Dr. Liao won twice the Best Paper Challenge Awards as the first author in both 2013 and 2014 IEEE GRSS Data Fusion Contest.

Next to fundamental research and industrial applications, Dr. Liao an experienced supervisor and coach of several students both at Master and PhD levels. Dr. Liao is also serving as an Associate Editor for both the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and IET Image Processing.

Education/Academic qualification

Doctor of Philosophy, Ghent University

2 Oct 20098 May 2012

Keywords

  • Remote Sensing
  • image and video processing
  • hyperspectral Imaging
  • multi-sensor data fusion
  • Mathematical Morphology
  • Spatial information extraction from high-resolution images
  • UAV-based image processing

Fingerprint Dive into the research topics where Wenzhi Liao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

fusion Physics & Astronomy
remote sensing Earth & Environmental Sciences
Feature extraction Engineering & Materials Science
image classification Earth & Environmental Sciences
principal components analysis Physics & Astronomy
pattern recognition Physics & Astronomy
Image classification Engineering & Materials Science
Remote sensing Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2019

An entropy and MRF model-based CNN for large-scale Landsat image classification

Zhao, X., Gao, L., Chen, Z., Zhang, B. & Liao, W., 31 Jul 2019, In : IEEE Geoscience and Remote Sensing Letters. 16, 7, p. 1145-1149 5 p.

Research output: Contribution to journalArticle

Open Access
File
Image classification
image classification
Landsat
entropy
Entropy
6 Citations (Scopus)

Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction

Xue, J., Zhao, Y., Liao, W. & Chan, J. C-W., 19 Jan 2019, In : Remote Sensing. 11, 2, 24 p., 193.

Research output: Contribution to journalArticle

Open Access
File
remote sensing
method
state of the art
norm

Prizes

Fellowship
Fundamental
Flanders
Funded Research
remote sensing
grass
airborne sensing
road
parking

Activities 2019 2020

  • 2 Journal peer review

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Journal)

Wenzhi Liao (Guest editor)
1 Jan 202030 Jun 2020

Activity: Publication peer-review and editorial work typesJournal peer review

Frontiers in Artificial Intelligence (Journal)

Wenzhi Liao (Associate Editor)
18 Sep 2019 → …

Activity: Publication peer-review and editorial work typesJournal peer review