Publications

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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., 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, "Nonlinear barycentric dimensionality reduction", IEEE ICIP10, IEEE International Conference on Image Processing, Hong Kong, september 26-29, pp. 1341-1344, 2010.
Heylen, R., 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.
Heylen, R., and P. Scheunders, "Non-linear fully-constrained spectral unmixing", IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, July 25-29, 2011.
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., 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.
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., 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.
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, "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., 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.
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. 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., P. Scheunders, A. Zare, and P. Gader, "Alternating angle minimization based unmixing with endmember variability", IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 6974-6977, Beijing, July 10-15 , 2016.
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.