[1] W. Liao, J. Chanussot and W. Philips, "Remote Sensing Data Fusion: Guided Filter-Based Hyperspectral Pansharpening and Graph-Based Feature-Level Fusion" in Mathematical Models for Remote Sensing Image Processing, editor, Gabriele Moser and Josiane Zerubia, Springer 2017, ISBN 978-3-319-66330-2, pp. 243-275, November 2017.
[2] Y. Pi, W. Liao , M. Liu and J. Lu, "Theory of Cognitive Pattern Recognition", in Pattern Recognition Techniques, Technology and Applications, editor P. Y. Yin, In-Tech 2008, ISBN 978-953-7619-24-4, pp. 433-463, Nov. 2008.
[32] C. Liu, H. Li, W. Liao, W. Philips, W. J. Emery, "Variational Textured Dirichlet Process Mixture Model with Pairwise Constraint for Unsupervised Classification of Polarimetric SAR Images", IEEE Transactions on Image Processing, pp. 1-16, 2019 (Early access).
[31] V. Andrejchenko, W. Liao, W. Philips and P. Scheunders, "Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields", Remote Sensing, vol. 11, no. 6, pp. 624 (20 pages).
[30] J. Xue, Y. Zhao, W. Liao, J. Chan, "Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising", IEEE Transactions on Geoscience and Remote Sensing, pp. 1-16, 2019 (Early access).
[29] X. Zhao, L. Gao, Z. Chen, B. Zhang, W. Liao, X. Yang, "An Entropy and MRF Model-Based CNN for Large-Scale Landsat Image Classification", IEEE Geoscience and Remote Sensing Letters, pp. 1-5, 2019 (Early access).
[28] J. Xue, Y. Zhao, W. Liao, J. Chan, "Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction", Remote Sensing, vol. 11, no. 2, pp. 193 (24 pages), Jan. 2019.
[27] W. Liao, F. Coillie, L. Gao, L. Li, B. Zhang, J. Chanussot, "Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping", IEEE Access, vol. 6, pp. 68716 - 68729, 2018.
[26] X. Pan, L. Gao, B. Zhang, F. Yang, W. Liao, "High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network", Sensors, vol. 18, no. 11, pp. 3774 (15 pages), Nov. 2018.
[25] S. Prasad, W. Liao, M. He, J. Chanussot, "Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1019-1021, 2018.
[24] C. Liu, W. Liao, H. Li, K. Fu, and W. Philips, "Unsupervised Classification of Multilook
Polarimetric SAR Data Using Spatially Variant Wishart Mixture Model with Double Constraints", IEEE Transactions on Geoscience and Remote Sensing, 2018.
[23] J. Gao, W. Liao, D. Nuyttens, P. Lootens, J. Vangeyte, A. Pižurica, Y. He, J. Pieters, "Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery", International Journal of Applied Earth Observation and Geoinformation, vol. 67, pp. 43-53, 2018.
[22] P. Ghamisi, N. Yokoya, J. Li, W. Liao, S. Liu, J. Plaza, B. Rasti, A. Plaza, "Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art", IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 37-78, 2017.
[21] C. Xie, X. Huang, L. Wang, X. Fang and W. Liao, “Spatiotemporal change patterns of urban lakes in
China’s major cities between 1990 and 2015”, International Journal of Digital Earth, pp. 1-18, 2017.
[20] J. Xue, Y. Zhao, W. Liao, S. Kong, “Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising”, IEEE Transactions on Geoscience and Remote Sensing, vol. pp, no. 99, pp. 1-19, 2017.
[19] H. Yu, L. Gao, W. Liao, B. Zhang, A. Pizurica, W. Philips, “Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification”, IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 11, pp. 2142-2146, 2017.
[18] W. Liao, J. Chanussot, M. Dalla Mura, X. Huang, R. Bellens, S. Gautama and W. Philips, "Promoting Partial Reconstruction for The Morphological Analysis of Very High Resolution Urban Remote Sensing Images", IEEE Geoscience and Remote Sensing Magazine, Vol. 5, no. 2, pp. 8-28, June 2017.(Matlab codes)
[17] L. Gao, B. Zhao, X. Jia, W. Liao, B. Zhang, "Optimized Kernel minimum noise fraction transformation for hyperspectral image classification", Remote Sensing, vol. 9, no. 6, pp. 1-20, 2017.
[16] R. Luo, W. Liao, H. Zhang, L. Zhang, Y. Pi, P. Scheunders and W. Philips, "Fusion of Hyperspectral and LiDAR Data for
Classification of Cloud-Shadow Mixed Remote Sensed Scene", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 8, pp. 3768-3781, 2017.
[15] X. Xie, W. Liao, H. Aghajan, P. Veelaert, W. Philips, "Detecting Road Intersections from GPS Traces Using Longest Common Subsequence Algorithm", ISPRS International Journal of Geo-Information, vol. 6, no. 1, pp. 1, 2017.
[14] D. Wen, X. Huang, H. Liu, W. Liao, L. Zhang, "Semantic Classification of Urban Trees Using Very High Resolution Satellite Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vo. PP, no. 99, pp. 1 - 12, 2017. (DOI: 10.1109/JSTARS.2016.2645798)
[13] R. Wang, H. C. Li, W. Liao, X. Huang, and W. Philips, “Centralized Collaborative Sparse Unmixing for Hyperspectral Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 5, pp. 1949-1962, 2017. (DOI: 10.1109/JSTARS.2017.2651063)
[12] W. He, H. Zhang, L. Zhang, W. Philips, W. Liao, "Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images", IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 5, pp. 686-690, May 2016.
[11] X. Huang, X. Han, H. Liu, L. Zhang, W. Liao, J. Benediktsson,
"Generalized Differential Morphological Profiles for Remote Sensing Image Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 4, pp. 1736-1751, April 2016.
[10] R. Luo, W. Liao, X. Huang, Y. Pi, W. Philips, "Feature Extraction of Hyperspectral Images with Semi-Supervised Graph Learning," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 9, pp. 4389-4399, Sep. 2016.
[9] W. Liao, M. Dalla Mura, J. Chanussot, R. Bellens, W. Philips, "Morphological Attribute Profiles With Partial Reconstruction," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 3, pp. 1738-1756, 2016
[8] W. Liao, M. Dalla Mura, J. Chanussot, A. Pizurica, "Fusion of Spectral and Spatial Information for Classification of Hyperspectral Remote Sensed Imagery by Local Graph," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 583-594, 2016.
[7] L. Loncan, L. B. Almeida, J. Bioucas Dias, X. Briottet, J. Chanussot, N. Dobigeon, S. Fabre, W. Liao, G. A. Licciardi, M. Simoes, J. Y. Tourneret, M. A. Veganzones, G. Vivone, Q. Wei, and N. Yokoya, "Hyperspectral pansharpening: a review," IEEE Geoscience and Remote Sensing Magazine, vol. 3, no. 3, pp. 27-46, September 2015.
[6] W. Liao, X. Huang, F. Coillie, S. Gautama, A. Pizurica, W. Philips, H. Liu, T. Zhu, M. Shimoni, G. Moser, and D.
Tuia, “Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS
Data Fusion Contest,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2984-2996, June 2015.
[5] J. Xia, W. Liao, J. Chanussot, P. Du and G. Song, W. Philips, “Improving Random Forest with ensemble of features
and semi-supervised feature extraction”, IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 7, pp.1471-1475, March 2015.
[4] W. Liao, R. Bellens, A. Pizurica, S. Gautama, W. Philips, “Generalized Graph-Based Fusion of Hyperspectral and
LiDAR Data Using Morphological Features,” IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 3, pp. 552-556,
Mar. 2015. (Matlab codes)
[3] C. Debes, A. Merentitis, R. Heremans, J. Hahn, N. Frangiadakis, T. Kasteren, W. Liao, R. Bellens, A. Pizurica, S.
Gautama, W. Philips, S. Prasad, Q. Du, F. Pacifici, “Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS
Data Fusion Contest,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.
6, pp. 2405-2418, Mar. 2014.
[2] W. Liao, A. Pizurica, P. Scheunders, W. Philips, Y. Pi, "Semi-Supervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images", In IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 184-
198, Jan. 2013. (Matlab Codes)
[1] W. Liao, R. Bellens, A. Pizurica, W. Philips, Y. Pi, “Classification of Hyperspectral Data Over Urban Areas Using
Directional Morphological Profiles and Semi-Supervised Feature Extraction”, In IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing, vol. 5, no. 4, pp. 1177-1190, Aug. 2012.
[20] W. Liao, D. Ochoa, Y. Zhao, G. Rugel, W. Philips, "Banana disease detection by fusion of close range hyperspectral image and high-resolution RGB image", in Proc. IEEE Int. Geoscience and Remote Sensing Symp. 2018 (IGARSS18), pp. 1744 - 1747, 2018.
[19] Y. Wu, L. Gao, W. Liao, P. Gamba, B. Zhang, "Potential analysis of feature extraction based quick response for environmental change with social media photos", in Proc. IEEE Int. Geoscience and Remote Sensing Symp. 2018 (IGARSS18), pp. 1132 - 1135, 2018.
[18] V. Andrejchenko, R. Heylen, W. Liao, W. Philips, P. Scheunders, "MRF-based decision fusion for hyperspectral image classification", in Proc. IEEE Int. Geoscience and Remote Sensing Symp. 2018 (IGARSS18), pp. 8066 - 8069, 2018.
[17] H. Yu, L. Gao, W. Liao, P. Gamba, B. Zhang, "Global spatial and local spectral similarity-based group sparse representation for hyperspectral imagery classification", in Proc. IEEE Int. Geoscience and Remote Sensing Symp. 2018 (IGARSS18), pp. 3579 - 3582, 2018.
[16] V. Chayes, K. Miller, R. Bhalerao, J. Luo, W. Zhu, A. Bertozzi, W. Liao, S. Osher, "Pre-processing and Classification of Hyperspectral Imagery via Selective Inpainting", in International Conference on Acoustics, Speech, and Signal Processing 2017 (ICASSP2017), 2017
[15] W. Liao, A. Pizurica, R. Luo, W. Philips, "A comparison on multiple level features for fusion hyperspectral and LiDAR data", in 2017 International Joint Urban Remote Sensing Event (JURSE 2017), 2017.
[14] W. Liao, J. Xia, P. Du, W. Philips, “Semi-supervised graph fusion of Hyperspectral and LiDAR Data for classification,” in Proc.
IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS 2015), Milan, Italy, 2015 (Accepted).
[13] L. Loncan, L. B. Almeida, J. Bioucas Dias, X. Briottet, J. Chanussot, N. Dobigeon, S. Fabre, W. Liao, G. Licciardi,
M. Simoes, J-Y. Tourneret, M. Veganzones, G. Vivone,Q. Wei, N. Yokoya, “Comparison of nine hyperspectral
pansharpening methods”, in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS 2015), Milan, Italy, 2015 (Accepted).
[12] W. Liao, X. Huang, F. Van Coillie, T. Guy, P. Scheunders, A. Pizurica, W. Philips, "Two-stage fusion of thermal hyperspectral
and visible RGB image by PCA and Guided filter", In 7th workshop on hyperspectral image and signal processing:
evolution in remote sensing (WHISPERS 2015), Tokyo, Japan, 2015 (invited paper).
[11] F. Van Coillie, W. Liao, P. Kempeneers, K. Vandekerkhove, S. Gautama, W. Philips, R.R. De Wulf, "Optimized
feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopies", In 7th workshop on
hyperspectral image and signal processing: evolution in remote sensing (WHISPERS 2015), Tokyo, Japan, 2015 (invited paper).
[10] W. Liao, A. Pizurica, S. Gautama, W. Philips, “Fusion of Thermal Infrared Hyperspectral image and visible RGB
image for Classification”, 9th EARSeL SIG Imaging Spectroscopy workshop, Luxembourg, 2015 (Accepted).
[9] R. Luo, W. Liao, W. Philips and Y. Pi, “An Improved Semi-supervised Local Discriminant Analysis for Feature
Extraction of Hyperspectral Image”, In IEEE Joint Urban Remote Sensing Event (JURSE 2015), Lausanne, Switzerland, 2015 (Accepted).
[8] W. Liao, R. Bellens, A. Pizurica, S. Gautama, W. Philips, “Combining Feature Fusion and Decision Fusion for
Classification of Hyperspectral and LiDAR Data”, in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS
2014), Quebec City, Canada, pp. 1241-1244, 2014 (Invited paper).
[7] P. Kempeneers, F. Van Coillie, W. Liao, F. Devriendt, K. Vandekerkhove, “Tress species mapping by combining
hyperspectral with LiDAR data”, in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS 2014), Quebec
City, Canada, pp. Abstract, 2014 (Invited paper).
[6] W. Liao, R. Bellens, S. Gautama, W. Philips, “Feature fusion of hyperspectral and LiDAR data for Classification of
remote sensing data from urban area,” 5th Workshop of the EARSeL Special Interest Group on Land Use and Land
Cover, Berlin, Germany, 2014.
[5] W. Liao, J. Aelterman, H. Luong, A. Pizurica, W. Philips, "Two-Stage Denoising Method For Hyperspectral Images
Combining KPCA And Total Variation", In Proceedings of 2013 IEEE International Conference on Image Processing
(ICIP 2013), Melbourne, Australia, pp. 2048-2052, 2013.
[4] W. Liao, B. Goossens, J. Aelterman, H. Luong, A. Pizurica, N. Wouters, W. Saeys, W. Philips, "Hyperspectral
image deblurring with PCA and total variation", In 5th workshop on hyperspectral image and signal processing:
evolution in remote sensing (WHISPERS 2013), Florida, US, pp. 1-4, 2013.
[3] W. Liao, R. Bellens, A. Pizurica, W. Philips, Y. Pi, “Classification of Hyperspectral Data over Urban Areas based on
Extended Morphological Profile with Partial Reconstruction”, In Proc. Advanced Concepts for Intelligent Vision Systems
(ACIVS) 2012, Brno, Czech Republic, pp. 278-289, 2012.
[2] W. Liao, A. Pizurica, W. Philips, Y. Pi, “Feature extraction for hyperspectral images based on semi-supervised local
discriminant analysis”, In IEEE Joint Urban Remote Sensing Event (JURSE 2011), Munich, Germany, pp. 401-404,
2011.
[1] W. Liao, A. Pizurica, W. Philips, Y. Pi, “A Fast Iterative PCA Feature Extraction for Hyperspectral Images”, In Proc.
of the 2010 IEEE International Conference on Image Processing (ICIP 2010), Hong-Kong, China, pp. 1317-1320, 2010.