Publications

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2013
W. Liao, Pizurica, A., Scheunders, P., Philips, W., and Pi, Y., “Semi-supervised local discriminant analysis for feature extraction in hyperspectral images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 184-198, 2013.
R. Heylen, Akhter, M. A., and Scheunders, P., “Solving the Hyperspectral Unmixing Problem with Projection Onto Convex Sets”, in 21st European Signal Processing Conference (EUSIPCO), September 2013, Marrakech, Morocco, 2013.
T. Nath, Liu, G., Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., “Tracking for Quantifying Social Network of Drosophila Melanogaster”, in 15th Computer Analysis of Images and Patterns (CAIP), 2013, vol. 8048, pp. 539–545.
R. Heylen, Akhter, M. A., and Scheunders, P., “On using projection onto convex sets for solving the hyperspectral unmixing problem”, IEEE Geoscience and Remote Sensing Letters, 2013.
2014
N. Tanmay, Liu, G., Hassan, B., Weyn, B., De Backer, S., and Scheunders, P., “Automated Social behaviour Recognition At Low Resolution”, in ICPR14, International Conference on Pattern Recognition, Stockholm, Sweden, 2014.
T. Nath, G.Liu,, Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., “Automated Social behaviour Recognition At Low Resolution”, in 22nd IEEE - International Conference of Pattern Recognition (ICPR), 2014.
R. Heylen and Scheunders, P., “A distance geometric framework for non-linear hyperspectral unmixing”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 1879-1888, 2014.
M. A. Akhter, Heylen, R., and Scheunders, P., “Geometric matched filter for hyperspectral partial unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
R. Heylen and Scheunders, P., “Hyperspectral unmixing using an active set algorithm”, in IEEE ICIP 2014, International Conference on Image Processing, October 27-30, Paris, France , 2014.
R. Heylen, Scheunders, P., Rangarajan, A., and Gader, P., “Nonlinear unmixing by using non-Euclidean metrics in a linear unmixing chain”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Kempeneers, P., and Scheunders, P., “Spectral adaptation of hyperspectral flight lines using VHR contextual information”, in Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, Quebec City, QC, Canada, 2014, pp. 2953-2956.
D. Burazerovic, Heylen, R., Raymaekers, D., Knaeps, E., and Scheunders, P., “A spectral-unmixing approach to estimate water-mass concentrations in case-II waters”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, 2014.
2015
S. Battiato, Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2015, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 9386. 2015.
A. Karami, Heylen, R., and Scheunders, P., “Band-specific Shearlet-based Hyperspectral Image Noise Reduction”, IEEE Transaction Geosciences and Remote Sensing , vol. 53, no. 9, 2015.
R. Heylen, Akhter, M. A., and Scheunders, P., “A fast alternative for the pixel purity index algorithm”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 1781-1784.
M. A. Akhter, Heylen, R., and Scheunders, P., “A geometric matched filter for hyperspectral target detection and partial unmixing”, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 661-665, 2015.
L. Tits, Heylen, R., Somers, B., Scheunders, P., and Coppin, P., “A geometric unmixing concept for the selection of optimal binary endmember combinations”, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 82-86, 2015.
M. A. Akhter, Heylen, R., and Scheunders, P., “Hyperspectral unmixing with projection onto convex sets using distance geometry”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 5059-5062.
A. Karami, R.Heylen,, and Scheunders, P., “Lossy Compression of Hyperspectral Images Optimizing Spectral Unmixing”, in IGARSS 2015, Milan, Italy, 2015.
A. Karami, Heylen, R., and Scheunders, P., “Lossy Compression of hyperspectral images optimizing spectral unmixing”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 5031-034.
R. Heylen, Scheunders, P., Gader, P., and Rangarajan, A., “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 Scheunders, P., “Nonlinear unmixing with a multilinear mixing model”, in IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
W. Liao, Huang, F., v. Coillie, F., Thoonen, G., Pizurica, A., Scheunders, P., and Philips, W., “Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter”, in IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.

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