Publications

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B. Haest, G. Thoonen, J. Vanden Borre, T. Spanhove, S. Delalieux, L. Bertels, L. Kooistra, C. A. Mücher, and P. Scheunders, "An object-based approach to quantity and quality assessment of heathland habitats in the framework of NATURA 2000 using hyperspectral airborne AHS images.", Proceedings of GEOBIA 2010, the Geographic Object-Based Image Analysis Conference, vol. XXXVIII-4/C7, July, 2010.
R. Hanel, K. J. Batenburg, and J. Sijbers, "Fast bias field estimation by localized Lloyd-Max quantization", SPIE Medical Imaging, San Diego, CA, USA, February, 2008. Download full paper (297.69 KB)
R. Heylen, and P. Scheunders, "A fast geometric algorithm for solving the inversion problem in spectral unmixing", IEEE-WHISPERS 2012, Workshop on Hyperspectral Image and Signal Processing, Shanghai, June 4-7, 2012.
R. Heylen, and P. Scheunders, "Spectral unmixing using distance geometry", IEEE-WHISPERS 2011, Workshop on Hperspectral Image and Signal Processing, Lisbon, Portugal, 6-9 June, 2011.
R. Heylen, 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.
R. Heylen, and P. Scheunders, "Nonlinear barycentric dimensionality reduction", IEEE ICIP10, IEEE International Conference on Image Processing, Hong Kong, september 26-29, pp. 1341-1344, 2010.
R. Heylen, 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.
R. Heylen, and P. Scheunders, "Calculation of geodesic distances in non-linear mixing models: demonstration on the generalized bilinear model", IEEE Geoscience and Remote Sensing letters, vol. 9, issue 4, pp. 644-648, 2012.
R. Heylen, 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.
R. Heylen, D. Burazerovic, and P. Scheunders, "A graph-based method for non-linear unmixing of hyperspectral imagery", IEEE IGARSS2010, IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Haway, July 25-30, pp. 197-200, 2010.
R. Heylen, and P. Scheunders, "Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratio's", IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, issue 2, pp. 570-579, 2013.
R. Heylen, 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.
R. Heylen, 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.
R. Heylen, and P. Scheunders, "Non-linear fully-constrained spectral unmixing", IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, July 25-29, 2011.
R. Heylen, 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.
R. Heylen, 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 (1.11 MB) Matlab code (1.93 KB)
K. Hufkens, 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.
K. Hufkens, 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.
K. Hufkens, R. Ceulemans, and P. Scheunders, "Ecotones in vegetation ecology: methodology and definitions revisited", Ecological Research, vol. 24, pp. 977-986, 2009.
K. Hufkens, 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.
C. C. Hung, 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.
C. C. Hung, 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.
C. C. Hung, 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.
T. Huysmans, J. Sijbers, and B. Verdonk, "Statistical shape models for tubular objects", Proceedings of IEEE BENELUX/DSP Valley Signal Processing Symposium (SPS-DARTS), Antwerp, Belgium, pp. 155-158, March, 2006. Full text (1.06 MB)
T. Huysmans, J. Sijbers, and B. Verdonk, "Parameterization of tubular surfaces on the cylinder", Journal of the Winter School of Computer Graphics, vol. 13, no. 3, pp. 97-104, 2005. Full text (447.09 KB)

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