Publications

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Conference Paper
B. Haest, Thoonen, G., Vanden Borre, J., Spanhove, T., Delalieux, S., Bertels, L., Kooistra, L., Mücher, C. A., and Scheunders, P., An object-based approach to quantity and quality assessment of heathland habitats in the framework of NATURA 2000 using hyperspectral airborne AHS images., in Proceedings of GEOBIA 2010, the Geographic Object-Based Image Analysis Conference, 2010, vol. XXXVIII-4/C7.
A. Adibi, Karami, A., Heylen, R., and Scheunders, P., Optical Solutions for Improving Spatial Resolution of Hyperspectral Sensors, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
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.
P. Scheunders, An orthogonal wavelet representation of multivalued images, in Proc. ACIVS02, Andvanced Concepts for intelligent vision systems, Ghent, 2002.
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.
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.
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.
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.
B. Koirala and Scheunders, P., A robust supervised method to estimate chlorophyll ab content from spectral reflectance, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
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.
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. 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.
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.
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.
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.
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.
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.
B. Rasti, Koirala, B., Scheunders, P., and Chanussot, J., Sparse unmixing using deep convolutional networks, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
B. Rasti, Koirala, B., and Scheunders, P., Sparse unmixing using deep convolutional networks, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
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. 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.
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.
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.
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., Spectral Unmixing Using Deep Convolutional Encoder-Decoder, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
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.

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