Publications

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Conference Paper
Karami, A., R. Heylen, and P. Scheunders, "Denoising Of Hyperspectral Images Using Shearlet Transform And Fully Constrained Least Squares Unmixing", 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 08/2016.
Scheunders, P., "Denoising of multispectral images using wavelet thresholding", Proc. SPIE conference on Image and Signal Processing for Remote Sensing IX, part of the International Symposium on Remote Sensing, Barcelona, Spain, pp. 28-35, September, 2003.
Meersman, D., P. Scheunders, and D. Van Dyck, "Detection of microcalcifications using neural networks", Digital Mammography, pp. 287-290, 1996.
Meersman, D., P. Scheunders, and D. Van Dyck, "Detection of microcalcifications using non-linear filtering", Proc. EUSIPCO'98, European Signal Processing Conference, pp. 2465-2468, 1998.
Asaari, M. Shahrimie, S. Mertens, S. Dhondt, N. Wuyts, and P. Scheunders, "Detection of plant responses to drought using close-range hyperspectral imaging in a high-throughput phenotyping platform", IEEE Whispers 2018, Workshop on Hyperspectral Image and Signal Processing, Amsterdam, 23-26 September , 2018.
Jacobs, J-P., G. Thoonen, D. Tuia, G. Camps-Valls, B. Haest, and P. Scheunders, "Domain adaptation with Hidden Markov Random Fields", Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, Melbourne, VIC, Australia, pp. 3112-3115, July, 2013.
Mahmood, Z., and P. Scheunders, "Enhanced visualization of hyperspectral images", Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, pp. 991 -994, july, 2010.
De Backer, S., and P. Scheunders, "Enhancement of fMRI image series with the aid of an anatomical image", ISBI’06, IEEE International Symposium on Biomedical Imaging, Arlington, Virginia, april 6-9, pp. 1052-1055, 2006.
Heylen, R., and P. Scheunders, "Estimating the number of endmembers in hyperspectral imagery with nearest neighbor distances", IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, pp. 1377-1380, 2012.
Heylen, R., M. Parente, and P. Scheunders, "Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon", LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, vol. 10169, 2017.
Ganseman, J., G. J. Mysore, P. Scheunders, and J. S. Abel, "Evaluation of a score-informed source separation system", Proc. 11th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, the Netherlands, August 2010, pp. 219-224, 2010.
Heylen, R., M A. Akhter, and P. Scheunders, "A fast alternative for the pixel purity index algorithm", IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, pp. 1781-1784, 2015.
Heylen, R., and P. Scheunders, "A fast geometric algorithm for solving the inversion problem in spectral unmixing", IEEE-WHISPERS 2012, Workshop on Hyperspectral Image and Signal Processing, Shanghai, June 4-7, 2012.
Yu, S., and P. Scheunders, "Feature selection for high-dimensional remote sensing data by a maximum entropy principal based optimization", Proc. Geoscience and Remote Sensing Symposium, pp. 3303-3305, 2001.
De Boeck, B., P. Scheunders, and D. Van Dyck, "From inductive inference to the fundamental equations of measuerement", Proc. First International Conference on Complex Systems: Perseus Books, pp. 115-122, 2000.
Van Meir, V., T. Boumans, G. De Groof, J. Van Audekerke, A. Smolders, P. Scheunders, J. Sijbers, M. Verhoye, J. Balthazart, and A. Van Der Linden, "Functional Magnetic resonance Imaging meets animal vocal learner", Third One-Day Symposium of Young Belgian Magnetic Resonance Scientists, Brussels, Belgium, November, 2004.
M. Soleimanzadeh, R., A. Karami, and P. Scheunders, "Fusion of hyperspectral and Lidar images using non-subsampled shearlet transform", IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
Yu, S., and P. Scheunders, "Fuzzy markov chains approach to feature selection for high dimensional remote sensing data", Geoscience and Remote Sensing Symposium, pp. 3306-3308, 2001.
Hung, C. C., T. Coleman, and P. Scheunders, "The genetic algorithm approach and K-means clustering: their role in unsupervised training in image classification", Proc. IASTED International Conf. On Computer Graphics and Imaging , Halifax, Canada, june 1-3, pp. 103-106, 1998.
Scheunders, P., "A genetic approach towards optimal color image quantization", Proc. ICIP'96, IEEE Internat. Conference on Image Processing , III, Lausanne, september 16-19, pp. 1031-1034, 1996.
Yu, S., P. Scheunders, and S. De Backer, "Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data", Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, pp. 1912-1916, 2000.
Yu, S., S. De Backer, and P. Scheunders, "Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery", Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, pp. 702-704, 2000.
Yu, S., S. De Backer, and P. Scheunders, "Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery", Intelligent Techniques and Soft Computing in Nuclear Science and Engineering: World Scientific, pp. 281-288, 2000.
Scheunders, P., "Genetic optimal quantization of gray-level and color images", Proceedings ACCV'95, Second Asian Conference on Computer Vision, Singapore, 5-8 december, no. 2, pp. 94-98, 1995.
Akhter, M A., R. Heylen, and P. Scheunders, "Geometric matched filter for hyperspectral partial unmixing", IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.

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