Publications

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Conference Paper
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.
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.
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.
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.
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.
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.
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.
J. Van Houtte, Sijbers, J., and Zheng, G., “Graphical User Interface for Joint Space Width Assessment by Optical Marker Tracking”, in 4th International Conference on Bio-engineering for Smart Technologies, 2021.
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.
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.
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)
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. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “A Geometric Color Scheme for Visualizing Diffusion Tensor Magnetic Resonance Fiber Pathways”, in 19th Annual Symposium - Belgian Hospital Physicists Association, Brussels, Belgium, 2004.
P. Scheunders, “Genetic optimal quantization of gray-level and color images”, in Proceedings ACCV'95, Second Asian Conference on Computer Vision, Singapore, 5-8 december, 1995, pp. 94-98.
S. Yu, De Backer, S., and Scheunders, P., “Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery”, in Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, 2000, pp. 281-288.
S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery”, in Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, pp. 702-704.
S. Yu, Scheunders, P., and De Backer, S., “Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data”, in Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, 2000, pp. 1912-1916.

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