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.
J. Hamaide, 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.
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)
S. Hassanzadeh, 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.
R. Heylen, and P. Scheunders, "Multi-dimensional Pixel Purity Index", IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013.
R. Heylen, 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.
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, 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.
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, 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, 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.
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, 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.
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, 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, 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.
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, 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.
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)
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, 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.
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, 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.
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, "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.

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