Publications

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Journal Article
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.
L. Tits, Heylen, R., Somers, B., Scheunders, P., and Coppin, P., A geometric unmixing concept for the selection of optimal binary endmember combinations, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 82-86, 2015.
V. Nguyen, Sanctorum, J., Van Wassenbergh, S., Dirckx, J. J. J., Sijbers, J., and De Beenhouwer, J., Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System, Journal of Imaging, vol. 7, no. 54, pp. 1-12, 2021.PDF icon Download paper (4.2 MB)
G. Verdoolaege and Scheunders, P., On the geometry of Multivariate Generalized Gaussian models, Journal of Mathematical Imaging and Vision, vol. 43, no. 3, pp. 180-193, 2012.
A. Postnov, De Schutter, T. T., Sijbers, J., Karperien, M., and De Clerck, N., Glucocorticoid-Induced Osteoporosis in Growing Mice Is Not Prevented by Simultaneous Intermittent PTH Treatment, Calcified Tissue International, vol. 85, pp. 530-537, 2009.PDF icon Download paper (344.96 KB)
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Grating designs for cone beam edge illumination X-ray phase contrast imaging: a simulation study, Optics Express, vol. 31, no. 17, pp. 28051-28064, 2023.
B. Haest, Vanden Borre, J., Spanhove, T., Thoonen, G., Delalieux, S., Kooistra, L., Mücher, C. A., Paelinckx, D., Scheunders, P., and Kempeneers, P., Habitat mapping and quality assessment of NATURA 2000 Heatland using airborne imaging spectroscopy, Remote Sensing, vol. 9, no. 3, 2017.
K. Hufkens, Thoonen, G., Vanden Borre, J., Scheunders, P., and Ceulemans, R., Habitat reporting of a heathland site: Classification probabilities as additional information, a case study, Ecological Informatics, vol. 5, pp. 248 - 255, 2010.
B. Rasti, Koirala, B., and Scheunders, P., HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022.PDF icon nonlinear_unmixing.pdf (8.14 MB)
B. Rasti, Koirala, B., and Scheunders, P., HapkeCNN: Blind nonlinear unmixing for intimate mixtures using Hapke model and convolutional neural network, IEEE Transactions on Geoscience and Remote Sensing, 2022.PDF icon hapke_cnn.pdf (8.14 MB)
M. Siqueira Pinto, Paolella, R., Billiet, T., Van Dyck, P., Guns, P. - J., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Harmonisation of Brain Diffusion MRI: Concepts and Methods, Frontiers in Neuroscience , vol. 14, pp. 1-17, 2020.PDF icon Download paper (2.61 MB)
M. Mohammadian, Roine, T., Hirvonen, J., Kurki, T., Ala-Seppälä, H., Frantzén, J., Katila, A., Kyllönen, A., Maanpää, H. - R., Posti, J., Takala, R., Tallus, J., and Tenovuo, O., High angular resolution diffusion-weighted imaging in mild traumatic brain injury, NeuroImage: Clinical, vol. 13, pp. 174 - 180, 2017.PDF icon Download paper (848.3 KB)
W. Keustermans, Huysmans, T., Danckaers, F., Zarowski, A., Schmelzer, B., Sijbers, J., and Dirckx, J. J. J., High quality statistical shape modelling of the human nasal cavity and applications, Royal Society Open Science, vol. 5, no. 12, 2018.PDF icon Download paper (1.85 MB)
P. Scheunders and De Backer, S., High-dimensional clustering using frequency sensitive competitive learning, Pattern Recognition, vol. 32, pp. 193-202, 1999.
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., How Hyperspectral Image Unmixing and Denoising Can Boost Each Other, Remote Sensing, vol. 12, no. 1728, 2020.PDF icon remotesensing-12-01728.pdf (2.27 MB)
A. J. den Dekker, Sijbers, J., and Van Dyck, D., How to optimize the design of a quantitative HREM experiment so as to attain the highest precision, Journal of Microscopy, vol. 194, pp. 95-104, 1999.PDF icon Download full paper (601.48 KB)
M. Zare, M. Helfroush, S., Kazemi, K., and Scheunders, P., Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition, Remote Sensing, vol. 13, no. 2930, 2021.PDF icon remotesensing-13-02930.pdf (3.79 MB)
A. Karami, Heylen, R., and Scheunders, P., Hyperspectral Image Compression Optimized for Spectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol. pp, no. 99, 2016.
T. Hu, Li, W., Liu, N., Tao, R., Zhang, F., and Scheunders, P., Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 2, pp. 1516-1533, 2021.PDF icon tgrs_2020.pdf (5.71 MB)
R. Heylen and Scheunders, P., Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratio's, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 570-579, 2013.
M. Brackx, Van Wittenberghe, S., Verhelst, J., Scheunders, P., and Samson, R., Hyperspectral leaf reflectance of Carpines betulus L. saplings for urban air quality estimation, Environmental Pollution, vol. 220, pp. 159-167, 2017.
J. Bioucas-Dias, Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., and Chanussot, J., Hyperspectral remote sensing data analysis and future challenges, IEEE Geoscience and Remote Sensing Magazine, vol. 1, no. 2, pp. 6-36, 2013.
P. Ghosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., Hyperspectral Unmixing Using Transformer Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing.pdf (6.32 MB)
P. Gosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., Hyperspectral Unmixing using Transformer Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing_author_version_to_upload.pdf (14.65 MB)
R. Heylen, Zare, A., Gader, P., and Scheunders, P., Hyperspectral unmixing with endmember variability via alternating angle minimization, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 8, pp. 4983-4993, 2016.

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