Paul Scheunders

Export 307 results:
[ Author(Desc)] Type Year
Filters: Author is Paul Scheunders
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
R
H. Rezaei, Karami, A., and Scheunders, P., Hyperspectral and multispectral image fusion based on spectral matching in the shearlet domain, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
A
V. Andrejchenko, Heylen, R., Liao, W., Philips, W., and Scheunders, P., MRF-based decision fusion for hyperspectral image classification, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018.
K
B. Koirala, Heylen, R., and Scheunders, P., A NEURAL NETWORK METHOD FOR NONLINEAR HYPERSPECTRAL UNMIXING, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018, pp. pp. 4233-4236.PDF icon a_nn_method_bikram_koirala_igarss2018.pdf (242.16 KB)
D
T. Dox, Heylen, R., and Scheunders, P., Spectral variability in a multilinear mixing model, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
H
R. Heylen, Parente, M., and Scheunders, P., Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon, in LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, 2017, vol. 10169.
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.
R
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.
L
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.
H
R. Heylen, Parente, M., and Scheunders, P., Pixel purity vertex component analysis, in IEEE IGARSS 2017, International Geoscience and Remote Sensing Symposium, Fort Worth, USA, July 23-28, 2017.
H
R. Heylen, Scheunders, P., Zare, A., and Gader, P., Alternating angle minimization based unmixing with endmember variability, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 6974-6977, Beijing, July 10-15 , 2016.
H
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.
K
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.
N
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.

Pages