Publications

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Conference Abstract
Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.
Conference Paper
G. Tisson, Scheunders, P., and Van Dyck, D., 3D region of interest X-ray CT for geometric magnification from multiresolution acquisitions, in Proc. ISBI04, IEEE International Symposium on Biomedical Imaging, 15-18 april 2004, Arlington, VA, 2004, pp. 567-570.
R. Heylen, Scheunders, P., Zare, A., and Gader, P., Alternating angle minimization based unmixing with endmember variability, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 6974-6977, Beijing, July 10-15 , 2016.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., and Scheunders, P., Analysis of Plant Stress Response Using Hyperspectral Imaging and Kernel Ridge Regression, in 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, Singapore, 2022, vol. 829.
G. Thoonen, Vanden Borre, J., De Backer, S., and Scheunders, P., Assessing the quality of heathland vegetation by classification of hyperspectral data using spatial information, in Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, Cape Town, South Africa, 2009, vol. 4, p. IV-330 - IV-333.
T. Nath, G.Liu,, Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in 22nd IEEE - International Conference of Pattern Recognition (ICPR), 2014.
N. Tanmay, Liu, G., Hassan, B., Weyn, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in ICPR14, International Conference on Pattern Recognition, Stockholm, Sweden, 2014.
E. Bettens, Scheunders, P., Sijbers, J., Van Dyck, D., and Moens, L., Automatic segmentation and modeling of two-dimensional electrophoresis gels, in Proceedings of IEEE International Conference on Image Processing, Lausanne, Switserland, 1996, vol. 2, pp. 665-668.
Z. Mahmood, Thoonen, G., and Scheunders, P., Automatic threshold selection for morphological attribute profiles, in IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, 2012, pp. 4946-4949.
Y. Zhang, De Backer, S., and Scheunders, P., Bayesian fusion of multispectral and hyperspectral image in wavelet domain, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008, Boston, United States, 6-11 July, 2008, pp. 69-72.
P. Scheunders, Bayesian techniques for multi/hyperspectral image processing, in 4th IEEE Conference on Industrial Electronics and Applications, Xi’an, China, May 25-27, 2009, pp. 1-10.
P. Scheunders, De Backer, S., Pizurica, A., Huysmans, B., and Philips, W., Bayesian Wavelet-based Denoising of Multicomponent Images, in Proceedings Wavelet Applications in Industrial Processing V, part of SPIE Optics East, Boston, MA, 9-12 september, Vol. 6763-OK (12 pages), 2007.
B. Rasti, Koirala, B., Scheunders, P., Ghamisi, P., and Gloaguen, R., Boosting Hyperspectral Image Unmixing using Denoising: Four Scenarios, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
B. Rasti, Koirala, B., Scheunders, P., Ghamisi, P., and Gloaguen, R., BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
P. Kempeneers, De Backer, S., Zarco-Tejada, P. J., Delalieux, S., Sepulcre-Cantó, G., Morales, F., Sagardoy, R., van Aardt, J., Coppin, P., and Scheunders, P., Chlorophyll retrieval from canopy reflectance over orchards using hyperspectral techniques, in 2nd International Symposium on Recent Advances in Quantitative Remote Sensing, 25-29 September 2006, Torrent (Valencia), Spain, 2006.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images, in Image Analysis and Recognition Proc. of International Conference on Image Analysis and Recognition, Porto, Portugal, 2004, pp. 497-503.
V. Andrejchenko, Heylen, R., Scheunders, P., Philips, W., and Liao, W., Classification of hyperspectral images with very small training size using sparse unmixing, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016.
D. Meersman, Scheunders, P., and Van Dyck, D., Classification of microcalcifications using texture-based features, in Digital Mammography, 1998, pp. 233-236.
V. De Witte, Thoonen, G., Scheunders, P., Pizurica, A., and Philips, W., Classification of multi-source images using color mathematical morphological profiles, in Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, Vancouver, BC, Canada, 2011, pp. 3919 - 3922.
P. Kempeneers, De Backer, S., Deronde, B., Bertels, L., Debruyn, W., and Scheunders, P., Classifying hyperspectral airborne imagery for vegetation survey along coastlines, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Anchorage, USA, 20-24 september, Anchorage, USA, 2004, vol. 2, pp. 1475-1478.
P. Mishra, Asaari, M. Shahrimie, Mertens, S., Wuyts, N., Dhondt, S., and Scheunders, P., Close range hyperspectral imaging for plant phenotyping, in Hyperspectral Imaging and Applications Conference, Coventry, UK, 2016.
A. Smolders, Scheunders, P., Sijbers, J., Van Meir, V., Verhoye, M., and Van Der Linden, A., Clustering of hemodynamic response functions from fMRI-data of a starling, in 13th European Microscopy Congress, Antwerp, Belgium, 2004.

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