Publications

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Conference Paper
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.
Andrejchenko, V., R. Heylen, P. Scheunders, W. Philips, and W. Liao, "Classification of hyperspectral images with very small training size using sparse unmixing", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016.
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., 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, "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., 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.
Andrejchenko, V., R. Heylen, W. Liao, W. Philips, and P. Scheunders, "MRF-based decision fusion for hyperspectral image classification", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018.
Koirala, B., R. Heylen, and P. Scheunders, "A NEURAL NETWORK METHOD FOR NONLINEAR HYPERSPECTRAL UNMIXING", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018.
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., 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., 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., and P. Scheunders, "Spectral unmixing using distance geometry", IEEE-WHISPERS 2011, Workshop on Hperspectral Image and Signal Processing, Lisbon, Portugal, 6-9 June, 2011.
Dox, T., R. Heylen, and P. Scheunders, "Spectral variability in a multilinear mixing model", IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
Burazerovic, D., R. Heylen, and P. Scheunders, "Towards streaming hyperspectral endmember extraction", IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium , Vancouver, July 25-29, 2011.
Burazerovic, D., B. Geens, R. Heylen, S. Sterckx, and P. Scheunders, "Unmixing for detection and quantification of adjacency effects", IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, pp. 3090-3093, 2012.
Journal Article
Karami, A., R. Heylen, and P. Scheunders, "Band-specific Shearlet-based Hyperspectral Image Noise Reduction", IEEE Transaction Geosciences and Remote Sensing , vol. 53, issue 9, no. 13, 03/2015.
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.
Burazerovic, D., B. Geens, R. Heylen, S. Sterckx, and P. Scheunders, "Detecting the adjacency effect in hyperspectral imagery with spectral unmixing techniques", IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, issue 3, pp. 1070-1078, 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., 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, "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, "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., 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, "Nonlinear spectral unmixing by geodesic simplex volume maximization", IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, pp. 534-542, 2011.
Ghasrodashti, E.K.., A. Karami, R. Heylen, and P. Scheunders, "Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation", Remote Sensing, vol. 9, issue 6, 2017.