Publications

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Conference Paper
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.
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., “Spectral Unmixing Using Deep Convolutional Encoder-Decoder”, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 3829-3832.PDF icon igarss2021.pdf (659.27 KB)
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.
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.
B. Rasti, Koirala, B., and Scheunders, P., “Sparse Unmixing using Deep Convolutional Networks”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 24-27.PDF icon suncnn_igarss2022.pdf (1.03 MB)
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.
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.
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., “Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon soil_ketaki.pdf (580.15 KB)
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.PDF icon bikram_koirala_igarss2019.pdf (325.58 KB)
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.
B. Koirala and Scheunders, P., “A Robust Supervised Method to Estimate Chlorophyll Ab Content from Spectral Reflectance”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329.PDF icon igarss_2022.pdf (238.85 KB)
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.
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.

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