Publications

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Journal Article
B. Weyn, Van de Wouwer, G., Samir, G. K., Van Daele, A., Scheunders, P., Van Marck, E., and Jacob, W., Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis, Cytometry, vol. 35, pp. 23-29, 1999.
P. Scheunders, De Clerck, N., and Wille, J., Computerized image storage and analysis of contracting cardiac myocytes, Journal of Computer Assisted Microscopy, vol. 6, pp. 77-83, 1994.
Z. Mahmood, Akhter, M. A., Thoonen, G., and Scheunders, P., Contextual Subpixel Mapping of Hyperspectral Images Making Use of a High Resolution Color Image, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 779 - 791, 2013.
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Jackisch, R., Scheunders, P., and Gloaguen, R., Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm, Remote Sensing, vol. 12 (23), no. 4007, 2020.PDF icon remotesensing-12-04007-v2.pdf (21.88 MB)
V. Andrejchenko, Liao, W., Philips, W., and Scheunders, P., Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields, Remote Sensing, vol. 11, 2019.PDF icon remotesensing-11-00624.pdf (1.5 MB)
S. De Backer, Pizurica, A., Huysmans, B., Philips, W., and Scheunders, P., Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators, Image and Vision Computing, vol. 26, pp. 1038-1051, 2008.
D. Burazerovic, Geens, B., Heylen, R., Sterckx, S., and Scheunders, P., Detecting the adjacency effect in hyperspectral imagery with spectral unmixing techniques, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 3, pp. 1070-1078, 2013.
A. Smolders, Martino, D. F., Staeren, N., Scheunders, P., Sijbers, J., Goebel, R., and Formisano, E., Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis, Magnetic Resonance Imaging, vol. 25, pp. 860-868, 2007.PDF icon Download paper (658.36 KB)
R. Heylen and Scheunders, P., A distance geometric framework for non-linear hyperspectral unmixing, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 1879-1888, 2014.
K. Hufkens, Ceulemans, R., and Scheunders, P., Ecotones in vegetation ecology: methodology and definitions revisited, Ecological Research, vol. 24, pp. 977-986, 2009.
Z. Mahmood and Scheunders, P., Enhanced visualization of hyperspectral images, IEEE Geoscience and Remote Sensing letters, vol. 8, pp. 869-873, 2011.
K. Hufkens, Ceulemans, R., and Scheunders, P., Estimating the ecotone width in patchy ecotones using a sigmoid wave approach, Ecological Informatics, vol. 3, pp. 97-104, 2008.
R. Heylen, Parente, M., and Scheunders, P., Estimation of the number of endmembers in a hyperspectral image via the hubness phenomenon, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 4, pp. 2191-2200, 2017.
A. J. Rebelo, Scheunders, P., Esler, K. J., and Meire, P., Evaluating palmiet wetland decline: a comparison of three methods, Remote Sensing Applications: Society and Environment, vol. 8, pp. 212-223, 2017.
G. Wolf and Scheunders, P., Evaluation of the swimming activity of Daphnia magna by image analysis after administration of sublethal Cadmium concentrations, Comparative Biochemistry and Physiology A, vol. 120, pp. 99-105, 1998.
R. Heylen, Burazerovic, D., and Scheunders, P., Fully constrained least-squares spectral unmixing by simplex projection, IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4112-4122, 2011.PDF icon PDF (1.11 MB)Package icon Matlab code (1.93 KB)
P. Scheunders and De Backer, S., Fusion and merging of multispectral images using multiscale fundamental forms, Journal of the Optical Society of America A, vol. 18, pp. 2468-2477, 2001.
R. Luo, Liao, W., Zhang, H., Zhang, L., Pi, Y., Scheunders, P., and Philips, W., Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensing Scene, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 8, pp. 3768-3781, 2017.
Z. H. Nezhad, Karami, A., Heylen, R., and Scheunders, P., Fusion of Hyperspectral and Multispectral Images Using Spectral Unmixing and Sparse Coding, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 6, pp. 2377-2389, 2016.
P. Kempeneers, De Backer, S., Debruyn, W., and Scheunders, P., Generic Wavelet-Based Hyperspectral Classification Applied to Vegetation Stress Detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 610-614, 2005.
P. Scheunders, A genetic c-means clustering algorithm applied to color image quantization, Pattern Recognition, vol. 30, pp. 859-866, 1997.
S. Yu, De Backer, S., and Scheunders, P., Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery, Pattern Recognition Letters, vol. 23, pp. 183-190, 2002.
P. Scheunders, A genetic Lloyd-Max image quantization algorithm, Pattern Recognition Letters, vol. 17, pp. 547-556, 1996.
G. Verdoolaege and Scheunders, P., Geodesics on the Manifold of Multivariate Generalized Gaussian Distributions With an Application to Multicomponent Texture Discrimination, International Journal of Computer Vision, vol. 95, pp. 265-286, 2011.
M. A. Akhter, Heylen, R., and Scheunders, P., A geometric matched filter for hyperspectral target detection and partial unmixing, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 661-665, 2015.

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