Publications

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Journal Article
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.
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.
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.
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., Ecotones in vegetation ecology: methodology and definitions revisited, Ecological Research, vol. 24, pp. 977-986, 2009.
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.
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)
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.
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.
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.
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.
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.
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.
E. Bettens, Scheunders, P., Van Dyck, D., Moens, L., and Osta, V. P., Computer Analysis of Two-Dimensional Electrophoresis Gels : A New Segmentation and Modeling Algorithm, Electrophoresis, vol. 18, pp. 792-798, 1997.
S. De Backer and Scheunders, P., A competitive elliptical clustering algorithm, Pattern Recognition Letters, vol. 20, pp. 1141-1147, 1999.
P. Scheunders, Comparison of clustering algorithms applied to colour image quantization, Pattern Recognition Letters, vol. 18, pp. 1379-1384, 1997.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
G. Thoonen, Spanhove, T., Vanden Borre, J., and Scheunders, P., Classification of heathland vegetation in a hierarchical contextual framework, International Journal of Remote Sensing, vol. 34, no. 1, pp. 96 - 111, 2013.
S. Livens, Scheunders, P., Van de Wouwer, G., Van Dyck, D., Smets, H., Winkelmans, J., and Bogaerts, W., Classification of corrosion images by wavelet signatures and LVQ networks, Lecture Notes in Computer Science, vol. 970, pp. 538-543, 1995.
R. Heylen and Scheunders, P., Calculation of geodesic distances in non-linear mixing models: demonstration on the generalized bilinear model, IEEE Geoscience and Remote Sensing letters, vol. 9, no. 4, pp. 644-648, 2012.
Z. Mai, Hanel, R., Batenburg, K. J., Verhoye, M., Scheunders, P., and Sijbers, J., Bias field reduction by localized Lloyd-Max quantization, Magnetic Resonance Imaging, vol. 29, no. 4, pp. 536-545, 2011.
Y. Zhang, Duijster, A., and Scheunders, P., A Bayesian Restoration Approach for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3453-3462, 2012.
A. Karami, Heylen, R., and Scheunders, P., Band-specific Shearlet-based Hyperspectral Image Noise Reduction, IEEE Transaction Geosciences and Remote Sensing , vol. 53, no. 9, 2015.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., A Band Selection Technique for Spectral Classification, IEEE Geoscience and Remote Sensing Letters, vol. 2, pp. 319-323, 2005.
G. Thoonen, Nys, B., Haegen, V. Y., Roy, D. G., and Scheunders, P., Automatic forensic analysis of automotive paints using optical microscopy, Forensic Science International, vol. 259, pp. 210-220, 2016.

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