Publications

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Conference Paper
P. Scheunders, Denoising of multispectral images using wavelet thresholding, in Proc. SPIE conference on Image and Signal Processing for Remote Sensing IX, part of the International Symposium on Remote Sensing, Barcelona, Spain, 2003, pp. 28-35.
A. Karami, Heylen, R., and Scheunders, P., Denoising Of Hyperspectral Images Using Shearlet Transform And Fully Constrained Least Squares Unmixing, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
B. Rasti, Koirala, B., Scheunders, P., and Chanussot, J., Deep Blind Unmixing using Minimum Simplex Convolutional Network, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 28-31.PDF icon misicnet_igarss2022.pdf (1.29 MB)
S. Livens, Anthonis, A., Mahy, M., and Scheunders, P., Cross-media tonal mapping model obtained from psychometric experiments, in Proc. SPIE 5008: Color Imaging, Device- Independent Color, Color Hardcopy, and Graphic Arts VII , Santa Clara, CA, 2003, pp. 14-23.
S. Hassanzadeh, Karami, A., Heylen, R., and Scheunders, P., Compression Of Hyperspectral Images Using Block Coordinate Descent Search And Compressed Sensing, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
Y. Zhang, Duijster, A., and Scheunders, P., A combined hyperspectral image restoration and fusion approach, in IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, July, 13-17, 2009, pp. 995-998.
G. Van de Wouwer, Livens, S., Scheunders, P., and Van Dyck, D., Color texture classification by wavelet energy-correlation signatures, in Proc. ICIAP Intern. Conf. On Computer Analysis and Image Processing , Florence, Italy, 17-19 september, 1997, pp. 327-334.
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.
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.
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.
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.
D. Meersman, Scheunders, P., and Van Dyck, D., Classification of microcalcifications using texture-based features, in Digital Mammography, 1998, pp. 233-236.
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.
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.
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.
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. 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.
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.
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.
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.
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.
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.
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.
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.

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