Publications

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Author Type [ Year(Desc)]
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1997
P. Scheunders and De Backer, S., Joint quantization and error-diffusion of color images using competitive learning, in Proc. IEEE Conference on Image Processing , Santa Barbara, 26-29 october, 1997, pp. 811-814.
1999
S. De Backer and Scheunders, P., A competitive elliptical clustering algorithm, Pattern Recognition Letters, vol. 20, pp. 1141-1147, 1999.
P. Scheunders and De Backer, S., High-dimensional clustering using frequency sensitive competitive learning, Pattern Recognition, vol. 32, pp. 193-202, 1999.
S. De Backer and Scheunders, P., Texture segmentation by frequency-sensitive elliptical competitive learning, in Proc. ICIAP99, International Conference on Image Analysis and Processing , Venice, Italy, september 27-29, 1999, pp. 64-69.
2000
S. Yu, Scheunders, P., and De Backer, S., Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data, in Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, 2000, pp. 1912-1916.
S. Yu, De Backer, S., and Scheunders, P., Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery, in Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, pp. 702-704.
S. Yu, De Backer, S., and Scheunders, P., Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery, in Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, 2000, pp. 281-288.
2001
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.
P. Scheunders and De Backer, S., Multispectral image fusion and merging using multiscale fundamental forms, in Proc. ICIP01, IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, pp. 902-905.
S. De Backer and Scheunders, P., Texture segmentation by frequency-sensitive elliptical competitive learning, Image and Vision Computing, vol. 19, pp. 639-648, 2001.
2003
S. Sterckx, Coppin, P., De Backer, S., Debruyn, W., Kempeneers, P., Meuleman, K., Nackaerts, K., Reusen, I., and Scheunders, P., Information extraction techniques for monitoring of stress symptoms in orchards, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 278-283.
K. Meuleman, Coppin, P., De Backer, S., Debruyn, W., Nackaerts, K., Scheunders, P., and Sterckx, S., Optimal hyperspectral indicators for stress detection in orchards, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 534-541.
P. Kempeneers, De Backer, S., Debruyn, W., and Scheunders, P., Wavelet Based Feature Extraction for Hyperspectral Vegetation Monitoring, in SPIE International Symposium on Remote Sensing, Image and Signal Processing for Remote Sensing IX, Barcelona, Spain, 2003, pp. 297-305.
2004
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images, in Image Analysis and Recognition Proc. of International Conference on Image Analysis and Recognition, Porto, Portugal, 2004, pp. 497-503.
P. Kempeneers, De Backer, S., Deronde, B., Bertels, L., Debruyn, W., and Scheunders, P., Classifying hyperspectral airborne imagery for vegetation survey along coastlines, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Anchorage, USA, 20-24 september, Anchorage, USA, 2004, vol. 2, pp. 1475-1478.
P. Kempeneers, De Backer, S., Delalieux, S., Sterckx, S., Debruyn, W., Coppin, P., and Scheunders, P., Upscaling of spectroradiometer data for stress detection in orchards with remote sensing, in SPIE Remote Sensing, Gran Canaria, 13-16 september, Maspalomas, Spain, 2004, vol. 127, pp. 37-45.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., Wavelet Based Hyperspectral Data Analysis for Vegetation Stress Classification, in Proc. of Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, 2004, pp. 387-391.

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