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Conference Paper
S. De Backer and Scheunders, P., Texture segmentation by frequency-sensitive elliptical competitive learning, in Proc. ICIAP99, International Conference on Image Analysis and Processing , Venice, Italy, september 27-29, 1999, pp. 64-69.
S. Livens, Van Roost, C., Scheunders, P., and Van Dyck, D., Tabular silver bromide micro-crystal characterisation using optical microscopy and colour-image analysis, in Proc. ICPS98, International Conference on Imaging Science , Antwerp, Belgium, 7-11/9, 1998.
Z. H. Nezhad, Karami, A., Heylen, R., and Scheunders, P., Superresolution Of Hyperspectral Images Using Spectral Unmixing And Sparse Regularization, in IGARSS 2016, Beijing China, 2016.
Z. Mahmood, Thoonen, G., Akhter, M. A., and Scheunders, P., Subpixel mapping of hyperspectral data using high resolution color images, in IEEE-WHISPERS 2012, Workshop on Hyperspectral Image and Signal Processing, Shanghai, June 4-7, 2012.
P. Kempeneers, De Backer, S., Tejada, Z. P. J., Delalieux, S., Canto, S. G., Iribas, M. F., van Aardt, J., Coppin, P., and Scheunders, P., Stress detection in orchards with hyperspectral remote sensing data, in SPIE Remote Sensing, Stockholm, Sweden, september 11-14, 2006, vol. 6359.
T. Dox, Heylen, R., and Scheunders, P., Spectral variability in a multilinear mixing model, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
R. Heylen and Scheunders, P., Spectral unmixing using distance geometry, in IEEE-WHISPERS 2011, Workshop on Hperspectral Image and Signal Processing, Lisbon, Portugal, 6-9 June, 2011.
V. Andrejchenko, Zahiri, Z., Heylen, R., and Scheunders, P., A spectral mixing model accounting for multiple reflections and shadow, in IGARSS 2019, International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 286-289.
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.
J. Driesen, Thoonen, G., and Scheunders, P., Spatial hyperspectral image classification by prior segmentation, in Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, Cape Town, South Africa, 2009, vol. 3, p. III-709 - III-712.
G. Thoonen, De Backer, S., Provoost, S., Kempeneers, P., and Scheunders, P., Spatial Classification of Hyperspectral Data of Dune Vegetation along the Belgian Coast, in Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, Boston, MA, USA, 2008, vol. 3, p. III-483 - III-486.
J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., Source separation by score synthesis, in Proc. International Computer Music Conference (ICMC 2010), New York, NY, June 1-5, 2010, pp. 462-465.
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.
B. Koirala and Scheunders, P., A semi-supervised method for Nonlinear Hyperspectral Unmixing, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, 2019, pp. pp. 361-364.
J. Sijbers, Van Der Linden, A., Scheunders, P., Van Audekerke, J., Raman, E., and Van Dyck, D., Semi-automatic mouse cerebellum extraction from 3D magnetic resonance data, in Proceedings of the International Society for Magnetic Resonance in Medicine, New York, USA, 1996, vol. 3, p. 1585.
J. Sijbers, Verhoye, M., Scheunders, P., Van Der Linden, A., Van Audekerke, J., Van Dyck, D., and Raman, E., Segmentation Scheme for Volume Quantization from 3D Microscopic MR images, in Proceedings of the Joint Meeting NVvM & BVM, Gent, 1996, pp. 168-169.
G. Van de Wouwer, Vautrot, P., Scheunders, P., Livens, S., Van Dyck, D., and Bonnet, N., Rotation-invariant texture segmentation using continuous wavelets, in Proc. 2-nd IEEE Symposium on applications of time-frequency and time-scale methods , Coventry, UK, 27-29/9, 1997.
G. Van de Wouwer, Scheunders, P., and Van Dyck, D., Rotation-Invariant Texture Characterization using Isotropic Wavelet Frames, in Proc. ICPR98, International Conference on Pattern Recognition , Brisbane, Australia, 17-20 august, 1998, pp. 814-816.
G. Tisson, Scheunders, P., and Van Dyck, D., ROI Cone-Beam CT on a Circular Orbit for Geometric Magnification Using Reprojection, in Proc. IEEE Medical Imaging Conference, Rome, 16-22 october, 2004.
P. Kempeneers, Sterckx, S., Debruyn, W., Park, Y., Ruddick, K., De Backer, S., and Scheunders, P., Retrieval of oceanic constituents from ocean color using simulated annealing, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, 25-29 July, 2005, vol. 8, pp. 5651-5654.
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., Proceedings of the Royal Microscopical Society, in Optimization of the SNR in NMR images using image sequences, London, UK, 1994, vol. 29, p. 232.
R. Heylen, Parente, M., and Scheunders, P., Pixel purity vertex component analysis, in IEEE IGARSS 2017, International Geoscience and Remote Sensing Symposium, Fort Worth, USA, July 23-28, 2017.
I. R. Tsang, Tsang, I. J., Scheunders, P., and Van Dyck, D., Pattern Recognition using neighborhood coding, in Proc. CVPRIP'98, Intern. Workshop on Computer Vision, Pattern Recognition and Image Processing , North Carolina, october 23-28, 1998, pp. 250-253.
P. Scheunders, An orthogonal wavelet representation of multivalued images, in Proc. ACIVS02, Andvanced Concepts for intelligent vision systems, Ghent, 2002.
K. Meuleman, Coppin, P., De Backer, S., Debruyn, W., Nackaerts, K., Scheunders, P., and Sterckx, S., Optimal hyperspectral indicators for stress detection in orchards, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 534-541.