Publications

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Heylen, R., and P. Scheunders, "Nonlinear unmixing with a multilinear mixing model", IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
Heylen, R., and P. Scheunders, "Multi-dimensional pixel purity index for convex hull estimation and endmember extraction", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, issue 7, pp. 4059-4069, 2013.
Heylen, R., M. Parente, and P. Scheunders, "Pixel purity vertex component analysis", IEEE IGARSS 2017, International Geoscience and Remote Sensing Symposium, Fort Worth, USA, July 23-28, 2017.
Heylen, R., A. Zare, P. Gader, and P. Scheunders, "Hyperspectral unmixing with endmember variability via alternating angle minimization", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, issue 8, pp. 4983-4993, 2016.
Heylen, R., and P. Scheunders, "Hyperspectral unmixing using an active set algorithm", IEEE ICIP 2014, International Conference on Image Processing, October 27-30, Paris, France , 2014.
Heylen, R., and P. Scheunders, "A multilinear mixing model for nonlinear spectral unmixing", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, issue 1, pp. 240-251, 2016.
Heylen, R., and P. Scheunders, "Spectral unmixing using distance geometry", IEEE-WHISPERS 2011, Workshop on Hperspectral Image and Signal Processing, Lisbon, Portugal, 6-9 June, 2011.
Heylen, R., M. Parente, and P. Scheunders, "Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon", LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, vol. 10169, 2017.
Heylen, R., M A. Akhter, and P. Scheunders, "Solving the Hyperspectral Unmixing Problem with Projection Onto Convex Sets", 21st European Signal Processing Conference (EUSIPCO), September 2013, Marrakech, Morocco, 2013.
Heylen, R., P. Scheunders, and P. Gader, "Handling spectral variability with alternating angle minimization", IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013.
Heylen, R., and P. Scheunders, "Estimating the number of endmembers in hyperspectral imagery with nearest neighbor distances", IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, pp. 1377-1380, 2012.
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., V. Andrejchenko, Z. Zahiri, M. Parente, and P. Scheunders, "Nonlinear hyperspectral unmixing with graphical models", IEEE Transaction on Geoscience and Remote Sensing, 2019.
Heylen, R., D. Burazerovic, and P. Scheunders, "Fully constrained least-squares spectral unmixing by simplex projection", IEEE Transactions on Geoscience and Remote Sensing, vol. 49, issue 11, pp. 4112-4122, 2011. PDF icon PDF (1.11 MB)Package icon Matlab code (1.93 KB)
Hufkens, K., G. Thoonen, J. Vanden Borre, P. Scheunders, and R. Ceulemans, "Habitat reporting of a heathland site: Classification probabilities as additional information, a case study", Ecological Informatics, vol. 5, no. 4, pp. 248 - 255, 2010.
Hufkens, K., R. Ceulemans, and P. Scheunders, "Ecotones in vegetation ecology: methodology and definitions revisited", Ecological Research, vol. 24, pp. 977-986, 2009.
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.
Hufkens, K., R. Ceulemans, and P. Scheunders, "Estimating the ecotone width in patchy ecotones using a sigmoid wave approach", Ecological Informatics, vol. 3, pp. 97-104, 2008.
Huijs, S., T. Huysmans, A. De Jong, N. Arnout, J. Sijbers, and J. Bellemans, "Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design", Acta Orthop Belg, vol. 84, issue 4, pp. 452-460, 2018.
Hung, C. C., T. Coleman, and P. Scheunders, "Using genetic differential competitive learning for unsupervised training in multispectral image classification systems", Proceedings IEEE International Conference on Systems, Man, and Cybernetics , San Diego, California, October 11-14, pp. 4482-4485, 1998.
Hung, C. C., T. Coleman, and P. Scheunders, "The genetic algorithm approach and K-means clustering: their role in unsupervised training in image classification", Proc. IASTED International Conf. On Computer Graphics and Imaging , Halifax, Canada, june 1-3, pp. 103-106, 1998.
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.
Huysmans, T., J. Sijbers, and B. Verdonk, "Automatic Construction of Correspondences for Tubular Surfaces", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 4, pp. 636-651, 2010. PDF icon Download paper (3.46 MB)
Huysmans, T., "Parameterization and Correspondence for Improved Modeling, Analysis, and Visualization of Tubular Surfaces.", Department of Physics, Antwerp, University of Antwerp, 2009. PDF icon Download Thesis (40.14 MB)
Huysmans, T., J. Sijbers, and F. Verstreken, Orthosis, , no. WO/2016/181282, 2016.

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