Publications

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Author [ Type(Desc)] Year
Conference Paper
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.
O. Melet, Huysmans, T., Hummel, M., and Brunet, P. - M., GPGPU and MIC in accelerated cluster for remote sensed image processing software, in Conference on Big Data from Space (BiDS), 12-14 November, ESRIN, Frascati, Italy, 2014.PDF icon paper (158.32 KB)
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.
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.
A. Leemans, Sijbers, J., and Parizel, P. M., A Graphical Toolbox for Exploratory Diffusion Tensor Imaging and Fiber Tractography, in 14th Annual Meeting - Section for Magnetic Resonance Technologists, Miami, USA, 2005.
K. J. Batenburg, Van Aarle, W., and Sijbers, J., Grey Level Estimation for Discrete Tomography, in Discrete Geometry for Computer Imaging, 2009, vol. 5810, pp. 517-529.
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, 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.
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.
G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., High resolution T1 estimation from multiple low resolution magnetic resonance images, in IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, 2015, vol. 12, pp. 1036-1039.
W. D'haes, A highly optimized method for computing amplitudes over a windowed short time signal: From O(K^2N) to O(N log(N)), in Proceedings of the IEEE Benelux Signal Processing Symposium, Hilvarenbeek, the Netherlands, 2004.
W. D'haes, A highly optimized nonlinear least squares technique for sinusoidal analysis: From O(K^2N) to O(N log(N)), in Proceedings of the 116th Audio Engineering Society Convention (AES), Berlin, Germany, 2004.
A. J. den Dekker, Sijbers, J., and Van Dyck, D., How to design an HREM experiment so as to attain the highest precision?, in ICEM14: 14th International Congress on Electron Microscopy, Cancun, Mexico, 1998, vol. 1, pp. 621-622.
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.
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.
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.
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.
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.
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, 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.
J. Van Audekerke, Verhoye, M., Sijbers, J., DeVoogd, T. J., Smulders, T., Newman, S. W., and Van Der Linden, A., Imaging birds .. in a bird cage: In vivo MRI microscopy of the canary brain at 7T, in Proceedings of International Society for Magnetic Resonance in Medicine: Sixth Annual Meeting, 1998, vol. 2, pp. 162-163.
B. Peersman, Vanhoenacker, F. M., Brys, P., Van Dyck, P., Stam, M., Verstraete, K. L., Bloem, J. L., Heyman, S., Herendael, V. B., Sijbers, J., and De Schepper, A. M., Imaging features of Ewing’s sarcoma, in International Skeletal Society 2007, 34th annual ISS Radiology Refresher Course, Budapest, 2007, p. 22.
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.
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.

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