Publications

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Journal Article
Rasti, B., P. Scheunders, P. Ghesami, G. Licciardi, and J. Chanussot, "Noise reduction in hyperspectral imagery: overview and application", Remote Sensing , vol. 10, issue 3, pp. 482, 2018.
Zhang, Y., S. De Backer, and P. Scheunders, "Noise-resistant wavelet-based Bayesian fusion of multispectral and hyperspectral images", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3834-3843, 2009.
De Backer, S., A. Naud, and P. Scheunders, "Non-linear Dimensionality Reduction Techniques for Unsupervised Feature Extraction", Pattern Recognition Letters, vol. 19, pp. 711-720, 1998.
Heylen, R., V. Andrejchenko, Z. Zahiri, M. Parente, and P. Scheunders, "Nonlinear hyperspectral unmixing with graphical models", IEEE Transaction on Geoscience and Remote Sensing, 2019.
Scheunders, P., S. De Backer, and A. Naud, "Non-linear mapping for feature extraction", Lecture Notes in Computer Science, vol. 1451, pp. 823-830, 1998.
Heylen, R., D. Burazerovic, and P. Scheunders, "Nonlinear spectral unmixing by geodesic simplex volume maximization", IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, pp. 534-542, 2011.
Heylen, R., P. Scheunders, P. Gader, and A. Rangarajan, "Nonlinear unmixing by using different metrics in a linear unmixing chain", IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015.
Baillieux, M., and P. Scheunders, "On-line determination of the velocity of simultaneously moving organisms by image analysis for the detection of sublethal toxicity", Water Research, vol. 32, no. 4, pp. 1027-1034, 1998.
Scheunders, P., "An orthogonal wavelet representation of multivalued images", IEEE Transactions on Image Processing, vol. 12, no. 6, pp. 718-725, 2003.
Sijbers, J., P. Scheunders, N. Bonnet, D. Van Dyck, and E. Raman, "Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure", Magnetic Resonance Imaging, vol. 14, no. 10, pp. 1157-1163, 1996. PDF icon Download paper (1.31 MB)
Liao, W., A. Pizurica, P. Scheunders, W. Philips, and Y. Pi, "Semi-supervised local discriminant analysis for feature extraction in hyperspectral images", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, issue 1, pp. 184-198, 2013.
Liu, G., T. Nath, Z. Guo, G. Linneweber, A. Claeys, J. Li, M. Bengochea, S. De Backer, B. Weyn, M. Sneyders, et al., "A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila", Plos Computational Biology, vol. 14, issue 8, pp. e1006410, 2018.
Ghasrodashti, E.K.., A. Karami, R. Heylen, and P. Scheunders, "Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation", Remote Sensing, vol. 9, issue 6, 2017.
Van Meir, V., T. Boumans, G. De Groof, J. Van Audekerke, A. Smolders, P. Scheunders, J. Sijbers, M. Verhoye, J. Balthazart, and A. Van Der Linden, "Spatiotemporal properties of the BOLD response in the songbirds auditory circuit during a variety of listening tasks", NeuroImage, vol. 25, pp. 1242-1255, 2005.
Burazerovic, D., R. Heylen, D. Raymaekers, E. Knaeps, and P. Scheunders, "A spectral-unmixing approach to estimate water-mass concentrations in case-II waters", IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 8, 2014.
Van de Wouwer, G., P. Scheunders, and D. Van Dyck, "Statistical texture characterization from discrete wavelet representations", IEEE Transactions on Image Processing, vol. 8, no. 4, pp. 592-598, 1999.
Livens, S., P. Scheunders, G. Van de Wouwer, D. Van Dyck, H. Smets, J. Winkelmans, and W. Bogaerts, "A texture analysis approach to corrosion image classification", Microscopy, Microanalysis, Microstructures, vol. 7, pp. 1-10, 1996.
De Backer, S., and P. Scheunders, "Texture segmentation by frequency-sensitive elliptical competitive learning", Image and Vision Computing, vol. 19, no. 9, pp. 639-648, 2001.
Van den Broek, W., J. Verbeeck, D. Schryvers, S. De Backer, and P. Scheunders, "Tomographic Spectroscopic Imaging; an experimental proof of concept", Ultramicroscopy, vol. 109, pp. 296-303, 2009.
Brackx, M., J. Verhelst, P. Scheunders, and R. Samson, "On the use of dorsiventral reflectance asymmetry of hornbeam (Carpinus betulus L.) leaves in air pollution estimation", Environmental Monitoring and Assessment, vol. 189, issue 9, 2017.
Hung, C. C., P. Scheunders, M. Pham, M. C. Su, and T. Coleman, "Using Intelligent Optimization Techniques in the K-means Algorithm for Multispectral Image Classification", International Journal of Fuzzy Systems, vol. 6, no. 3, pp. 107-117, 2004.
Heylen, R., M A. Akhter, and P. Scheunders, "On using projection onto convex sets for solving the hyperspectral unmixing problem", IEEE Geoscience and Remote Sensing Letters, 2013.
Weyn, B., W. Tjalam, G. Van de Wouwer, A. Van Daele, P. Scheunders, W. Jacob, E. Van Marck, and D. Van Dyck, "Validation of nuclear texture density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma", Analytical and Quantitative Cytology and Histology, vol. 22, no. 5, pp. 373-382, 2000.
Hufkens, K., P. Scheunders, and R. Ceulemans, "Validation of the sigmoid wave curve fitting algorithm on a forest-tundra ecotone in the Northwest Territories, Canada", Ecological Informatics, vol. 4, pp. 1-7, 2009.
Weyn, B., G. Van de Wouwer, M. Koprowski, A. Van Daele, K. Dhaene, P. Scheunders, W. Jacob, and E. Van Marck, "Value of morphometry, texture analysis, densitometry and histometry in the differential diagnosis and prognosis of malignant mesothelioma", Journal of Pathology, vol. 4, no. 189, pp. 581-589, 1999.

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