Publications

Export 307 results:
Author [ Type(Asc)] Year
Filters: Author is Paul Scheunders  [Clear All Filters]
Conference Paper
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.
P. Scheunders, Van Hove, H., and Livens, S., On the local optimality of image quantizers, in Proc. ICPR'96 IEEE Internat. Conference on Pattern Recognition,, D, pp. 664-668, Vienna, august 25-30, 1996, pp. 664-668.
W. Liao, M Mura, D., Huang, X., Chanussot, J., Gautama, S., Scheunders, P., and Philips, W., Lidar information extraction by attribute filters with partial reconstruction, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 1484-1487, Beijing, July 10-15 , 2016.
P. Scheunders and Driesen, J., Least squares interband denoising of color and multispectral images, in Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, 2004, pp. 985-988.
J. Ganseman and Scheunders, P., A jump start for NMF with N-Findr and NNLS, in DAFx-12, 15-th Int. Conference on Digital Audio Effects, York, UK, september 17-21, 2012.
P. Scheunders and De Backer, S., Joint quantization and error-diffusion of color images using competitive learning, in Proc. IEEE Conference on Image Processing , Santa Barbara, 26-29 october, 1997, pp. 811-814.
S. Sterckx, Coppin, P., De Backer, S., Debruyn, W., Kempeneers, P., Meuleman, K., Nackaerts, K., Reusen, I., and Scheunders, P., Information extraction techniques for monitoring of stress symptoms in orchards, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 278-283.
M. Verhoye, Sijbers, J., Scheunders, P., Van Dyck, D., Reyniers, E., Kooy, R. F., Willems, P. J., Cras, P., Oostra, B. A., and Van Der Linden, A., In vivo assessment of cerebellum volume in transgenic fragile X knockout mice using MTI microscopy at 7T, in Proceedings of the European Society for Magnetic Resonance in Medicine and Biology: 14th annual meeting, Brussels, Belgium, 1997, vol. 2, pp. 45-46.
J. Ganseman, Scheunders, P., and Dixon, S., Imrpoving PLCA-based score-informed source separation with invertible constant-Q transform, in EUSIPCO 2012, 20th European Signal Processing Conference, Bucharest, Romania, august 27-31 , 2012, pp. 2634-2638.
L. Tits, Somers, B., Heylen, R., Scheunders, P., and Coppin, P., Improving the efficiency of MESMA through geometric unmixing principles, in SPIE Remote Sensing, Drseden, Germany, 23-26 September , 2013, vol. 8892.
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.
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.
M. A. Akhter, Mahmood, Z., and Scheunders, P., Hyperspectral image subpixel mapping using Getis index, in IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013, 2013.
Y. Zhang, Duijster, A., and Scheunders, P., A Hyperspectral Image Restoration technique, in IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009, pp. 2873-2876.
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.
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Scheunders, P., and Gloaguen, R., Hyperspectral clustering using atrous spatial-spectral convolutional network, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
P. Kempeneers, De Backer, S., Debruyn, W., Provoost, S., and Scheunders, P., Hyperspectral classification applied to the Belgian coastline, in SPIE Remote Sensing, Bruges, Belgium, 19-22 september, 2005, vol. 5982.
H. Rezaei, Karami, A., and Scheunders, P., Hyperspectral and multispectral image fusion based on spectral matching in the shearlet domain, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
M. Verhoye, Van Der Linden, A., Sijbers, J., Scheunders, P., Van Dyck, D., Reyniers, E., Kooy, R. F., Willems, P. J., Cras, P., and Oostra, B. A., High resolution MRI study of the cerebellum of mice as a function of age, in a mouse model for fragile X mental retardation, in Proceedings of the European Society for Magnetic Resonance in Medicine and Biology, Prague, Czech Republic, 1996, vol. 2, p. 168.
R. Heylen, Scheunders, P., and Gader, P., Handling spectral variability with alternating angle minimization, in IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013.
G. Thoonen, Spanhove, T., Haest, B., Vanden Borre, J., and Scheunders, P., Habitat mapping and quality assessment of heathlands using a modified kernel-based reclassification technique, in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, Honolulu, HI, USA, 2010, pp. 2707 - 2710.
R. Heylen, Burazerovic, D., and Scheunders, P., A graph-based method for non-linear unmixing of hyperspectral imagery, in IEEE IGARSS2010, IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Haway, July 25-30, 2010, pp. 197-200.
S. Livens, Van Roost, C., Scheunders, P., and Van Dyck, D., Granulometric segmentation using a gradient convergence map, in Proc. Scandinavian Conference on Image Analysis , Lappeenranta, Finland, 9-11/6, 1997, pp. 389-396.
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.

Pages