Publications

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Haest, B., 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.
Haest, B., J. Vanden Borre, T. Spanhove, G. Thoonen, S. Delalieux, L. Kooistra, C. A. Mücher, D. Paelinckx, P. Scheunders, and P. Kempeneers, "Habitat mapping and quality assessment of NATURA 2000 Heatland using airborne imaging spectroscopy", Remote Sensing, vol. 9, issue 3, 2017.
Hamaide, J., G. De Groof, G. Van Steenkiste, B. Jeurissen, J. Van Audekerke, M. Naeyaert, L. Van Ruijssevelt, C. Cornil, J. Sijbers, M. Verhoye, et al., " Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging", NeuroImage, vol. 146, pp. 789-803, 2017.
Hanel, R., K. J. Batenburg, and J. Sijbers, "Fast bias field estimation by localized Lloyd-Max quantization", SPIE Medical Imaging, San Diego, CA, USA, February, 2008. PDF icon Download full paper (297.69 KB)
Hassanzadeh, S., A. Karami, R. Heylen, and P. Scheunders, "Compression Of Hyperspectral Images Using Block Coordinate Descent Search And Compressed Sensing", 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 08/2016.
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., 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., and P. Scheunders, "Multi-dimensional Pixel Purity Index", IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013.
Heylen, R., M A. Akhter, and P. Scheunders, "A fast alternative for the pixel purity index algorithm", IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, pp. 1781-1784, 2015.
Heylen, R., 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.
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., 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., 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., P. Scheunders, A. Rangarajan, and P. Gader, "Nonlinear unmixing by using non-Euclidean metrics in a linear unmixing chain", IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
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., 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., 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)
Heylen, R., and P. Scheunders, "A distance geometric framework for non-linear hyperspectral unmixing", IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 1879-1888, 2014.
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., 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.
Heylen, R., M. Parente, and P. Scheunders, "Estimation of the number of endmembers in a hyperspectral image via the hubness phenomenon", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, issue 4, pp. 2191-2200, 2017.

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