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Wenzhi Liao

Dr, Computer Science Engineering

Accepting PhD Students

20092019
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Research Output 2009 2019

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Paper
2018

Banana disease detection by fusion of close range hyperspectral image and high-resolution RGB image

Liao, W., Ochoa, D., Zhao, Y., Villegas Rugel, G. M. & Philips, W., 5 Nov 2018, p. 1744-1747. 4 p.

Research output: Contribution to conferencePaper

image resolution
fusion
high resolution
leaves
normalized difference vegetation index

Global spatial and local spectral similarity-based group sparse representation for hyperspectral imagery classification

Yu, H., Gao, L., Liao, W., Gamba, P. & Zhang, B., 5 Nov 2018, p. 3579-3582. 4 p.

Research output: Contribution to conferencePaper

imagery
method

MRF-based decision fusion for hyperspectral image classification

Andrejchenko, V., Heylen, R., Liao, W., Philips, W. & Scheunders, P., 5 Nov 2018, p. 8066-8069. 4 p.

Research output: Contribution to conferencePaper

image classification
classifiers
fusion
ground truth
logistics

Potential analysis of feature extraction based quick response for environmental change with social media photos

Wu, Y., Gao, L., Liao, W., Gamba, P. & Zhang, B., 5 Nov 2018, p. 1132-1135. 4 p.

Research output: Contribution to conferencePaper

pattern recognition
environmental change
air pollution
websites
air quality
1 Citation (Scopus)
1 Downloads (Pure)

Robust joint sparsity model for hyperspectral image classification

Huang, S., Zhang, H., Liao, W. & Pizurica, A., 22 Feb 2018, p. 3130-3134. 5 p.

Research output: Contribution to conferencePaper

Open Access
File
Image classification
Pixels

Spectral calibration for close-range hyperspectral images

Liao, W., Donoso, D., Reyes, R., Criollo, R. & Philips, W., 26 Sep 2018, p. 1. 1 p.

Research output: Contribution to conferencePaper

2017
1 Citation (Scopus)

A comparison on multiple level features for fusion hyperspectral and LiDAR data

Liao, W., Pizurica, A., Luo, R. & Philips, W., 11 May 2017. 4 p.

Research output: Contribution to conferencePaper

fusion
multisensor fusion
learning
image processing
remote sensing

Cloud implementation of PCA and total variation for hyperspectral image restoration based on spark

Yin, X., Wu, Z., Liao, W., Wei, Z. & Tan, C., 2017. 4 p.

Research output: Contribution to conferencePaper

Exploiting the low-rank property of hyperpsectral imagery: a technical overview

Zhang, H., He, W., Liao, W., Luo, R., Zhang, L., Pizurica, A. & Chanussot, J., 19 Oct 2017, p. 1-4. 4 p.

Research output: Contribution to conferencePaper

imagery
Image analysis
Restoration
Image processing
Degradation
1 Citation (Scopus)

Fusion of multi-scale hyperspectral and LiDAR features for tree species mapping

Liao, W., Vancoillie, F., Li, L., Zhao, B., Gao, L., Philips, W. & Zhang, B., 4 Dec 2017, p. 2879-2882. 4 p.

Research output: Contribution to conferencePaper

fusion
sensors
Belgium
fuses
spectral bands
3 Citations (Scopus)

Hyperspectral unmixing by reweighted low rank and total variation

Wang, R., Liao, W., Li, H-C., Zhang, H. & Pizurica, A., 19 Oct 2017. 4 p.

Research output: Contribution to conferencePaper

abundance estimation
capture method
matrix
matrices
regression analysis
1 Downloads (Pure)

Non-negative matrix factorization with mixture of Itakura-Saito divergence for SAR images

Liu, C., Liao, W., Li, H-C. & Philips, W., 4 Dec 2017, p. 779-782. 4 p.

Research output: Contribution to conferencePaper

Open Access
File
synthetic aperture radar
factorization
divergence
matrix
matrices
1 Citation (Scopus)

Pre-processing and classification of hyperspectral imagery via selective inpainting

Chayes, V., Miller, K., Bhalerao, R., Luo, J., Zhu, W., Bertozzi, A., Liao, W. & Osher, S., 19 Jun 2017, p. 6195-6199. 5 p.

Research output: Contribution to conferencePaper

preprocessing
imagery
pixel
gradients
pixels
1 Citation (Scopus)

Spectral-spatial classification for hyperspectral image by bilateral filtering and morphological features

Liao, W., Donoso, D. E. O., Van Coillie, F., Li, J., Qi, C., Gautama, S. & Philips, W., 19 Oct 2017. 4 p.

Research output: Contribution to conferencePaper

image classification
fuses
stacking
imagery
fusion
2016
1 Citation (Scopus)

A novel approach for detecting intersections from GPS traces

Xie, X., Liao, W., Aghajan, H., Veelaert, P., Philips, W., WU, J. (ed.), JIN, Y. (ed.) & SHI, J. (ed.), 3 Nov 2016, p. 1816-1819. 4 p.

Research output: Contribution to conferencePaper

intersections
GPS
road
roads
dynamic programming
2 Citations (Scopus)

Classification of cloudy hyperspectral image and lidar data based on feature and decision fusion

Luo, R., Liao, W., Zhang, H., Pi, Y., Philips, W., WU, J., JIN, Y. & SHI, J., 3 Nov 2016, p. 2518-2521. 4 p.

Research output: Contribution to conferencePaper

optical radar
lidar
fusion
fuses
Earth surface
1 Citation (Scopus)

Classification of hyperspectral images with very small training size using sparse unmixing

Andrejchenko, V., Heylen, R., Scheunders, P., Philips, W. & Liao, W., 3 Nov 2016. 3 p.

Research output: Contribution to conferencePaper

education
Glossaries
dictionaries
6 Citations (Scopus)

Double reweighted sparse regression for hyperspectral unmixing

Wang, R., Li, H., Liao, W., Pizurica, A., WU, J., JIN, Y. & SHI, J., 3 Nov 2016, p. 6986-6989. 4 p.

Research output: Contribution to conferencePaper

regression analysis

Fusion of spectral and spatial information for land cover classification

Liao, W., Zhang, H., Li, J., Huang, S., Wang, R., Luo, R. & Pizurica, A., 2016.

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Lidar information extraction by attribute filters with partial reconstruction

Liao, W., Dalla Mura, M., Huang, X., Chanussot, J., Gautama, S., Scheunders, P., Philips, W., WU, J., JIN, Y. & SHI, J., 3 Nov 2016, p. 1484-1487. 4 p.

Research output: Contribution to conferencePaper

Optical radar
optical radar
lidar
filter
filters

Paint loss detection in old paintings by sparse representation classification

Huang, S., Liao, W., Zhang, H. & Pizurica, A., 2016, p. 62-64. 3 p.

Research output: Contribution to conferencePaper

paints
conservation
radiography
restoration
regression analysis

Pansharpening for proba image using guided filter

Donoso, D., Liao, W., Echeverria, J., Gautama, S., Philips, W. & Vandenabeele, J. (ed.), 2016.

Research output: Contribution to conferencePaper

Image resolution
filters
Principal component analysis
Sensors
Satellites

Spectral-spatial classification of hyperspectral images with semi-supervised graph learning

Luo, R., Liao, W., Zhang, H., Pi, Y. & Philips, W., 2016. 6 p.

Research output: Contribution to conferencePaper

learning
Fusion reactions
fusion
Electric fuses
Labels

Static Fourier transform hyperspectral imaging polarimeter

Li, J., Qi, C., Zhu, J., Liao, W. & Philips, W., 19 Oct 2016. 4 p.

Research output: Contribution to conferencePaper

Polarimeters
polarimeters
Fourier transforms
Polarization
Imaging techniques
2015
4 Citations (Scopus)

An improved semi-supervised local discriminant analysis for feature extraction of hyperspectal image

Luo, R., Liao, W., Philips, W. & Pi, Y., 11 Jun 2015. 4 p.

Research output: Contribution to conferencePaper

Discriminant analysis
pattern recognition
Feature extraction
discrimination
education

Comparison of nine hyperspectral pansharpening methods

Loncan, L., Almeida, L. B., Bioucas Dias, J., Briottet, X., Chanussot, J., Dobigeon, N., Fabre, S., Liao, W., Licciardi, G., Simoes, M., Tourneret, J-Y., Veganzones, M. A., Vivone, G., Wei, Q., Yokoya, N. & Pascazio, V., 2015, p. 1-4. 4 p.

Research output: Contribution to conferencePaper

Substitution reactions
Availability
Decomposition

Fusion of thermal infrared hyperspectral image and visible RGB image for classification

Liao, W., Pizurica, A., Gautama, S., Philips, W. & Bierbrauer, H. (ed.), 2015, p. 1. 1 p.

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Optimized feature fusion of lidar and hyperspectral data for tree species mapping in closed forest canopies

Vancoillie, F., Liao, W., Kempeneers, P., Vandekerkhove, K., Gautama, S., Philips, W., De Wulf, R., Iwasaki, A. (ed.), Yokoya, N. & Chanussot, J., 2015, p. 1-4. 4 p.

Research output: Contribution to conferencePaper

canopies
Optical radar
forest canopy
Ashes
optical radar
7 Citations (Scopus)

Semi-supervised graph fusion of hyperspectral and LiDAR data for classification

Liao, W., Xia, J., Du, P., Philips, W., Pascazio, V. (ed.) & B Serpico, S. (ed.), 12 Nov 2015, p. 53-56. 4 p.

Research output: Contribution to conferencePaper

fusion
Data fusion
Electric fuses
Sensors
fuses
2 Citations (Scopus)

Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter

Liao, W., Huang, X., Van Coillie, F., Thoonen, G., Pizurica, A., Scheunders, P., Philips, W., Iwasaki, A., Yokoya, N. & Chanussot, J., 2015, p. 1-4. 4 p.

Research output: Contribution to conferencePaper

principal components analysis
Principal component analysis
principal component analysis
fusion
filter
2014
15 Citations (Scopus)

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

Liao, W., Bellens, R., Pizurica, A., Gautama, S., Philips, W., Bernier, M., Lévesque, J., Garneau, J-M. & LeDrew, E., 6 Nov 2014, p. 1241-1244. 4 p.

Research output: Contribution to conferencePaper

Open Access
File
fusion
voting
multisensor fusion
classifiers
decision

Feature fusion of hyperspectral and LiDAR data for classification of remote sensing data from urban area

Liao, W., Bellens, R., Gautama, S., Philips, W., Linden, S. V. D. (ed.), Kuemmerle, T. (ed.) & Janson, K. (ed.), 2014, p. 34. 1 p.

Research output: Contribution to conferencePaper

multisensor fusion
remote sensing
urban area
fusion
image processing
1 Downloads (Pure)

Tree species mapping by combining hyperspectral with LiDAR data

Kempeneers, P., Vancoillie, F., Liao, W., Devriendt, F., Vandekerkhove, K., Bernier, M. (ed.), Lévesque, J. (ed.), Garneau, J-M. (ed.) & LeDrew, E. (ed.), 18 Jul 2014. 4 p.

Research output: Contribution to conferencePaper

Open Access
File
multisensor fusion
sensors
Belgium
ashes
spectral bands
2013
9 Citations (Scopus)

Hyperspectral image deblurring with PCA and total variation

Liao, W., Goossens, B., Aelterman, J., Luong, H., Pizurica, A., Wouters, N., Saeys, W. & Philips, W., 2013. 4 p.

Research output: Contribution to conferencePaper

principal components analysis
principal component analysis
calculus of variations
2 Citations (Scopus)

Two-stage denoising method for hyperspectral images combining KPCA and total variation

Liao, W., Aelterman, J., Luong, H., Pizurica, A., Philips, W., Hobson, P. (ed.), Percannella, G. (ed.), Vento, M. (ed.) & Wiliem, A. (ed.), 2013, p. 2048-2052. 5 p.

Research output: Contribution to conferencePaper

principal components analysis
principal component analysis
method
2012
8 Citations (Scopus)

Classification of hyperspectral data over urban areas based on extended morphological profile with partial reconstruction

Liao, W., Bellens, R., Pizurica, A., Philips, W., Pi, Y., Blanc-Talon, J. (ed.), Popescu, D. (ed.) & Scheunders, P., 2012, p. 278-289. 12 p.

Research output: Contribution to conferencePaper

urban area
profiles
image resolution
closing
high resolution
2011
12 Citations (Scopus)

Feature extraction for hyperspectral images based on semi-supervised local linear discriminant analysis

Liao, W., Pizurica, A., Philips, W., Pi, Y., Stilla, U. (ed.), Gamba, P., Juergens, C. (ed.) & Maktav, D. (ed.), 5 May 2011, p. 401-404. 4 p.

Research output: Contribution to conferencePaper

discriminant analysis
pattern recognition
preserving
imagery
embedding
2010
12 Citations (Scopus)

A fast iterative kernel PCA feature extraction for hyperspectral images

Liao, W., Pizurica, A., Philips, W., Pi, Y. & Law, B. (ed.), 3 Dec 2010, p. 1317-1320. 4 p.

Research output: Contribution to conferencePaper

principal components analysis
pattern recognition
principal component analysis
matrix methods
iteration