Publications

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P. Kempeneers, Sterckx, S., Debruyn, W., Park, Y., Ruddick, K., De Backer, S., and Scheunders, P., “Retrieval of oceanic constituents from ocean color using simulated annealing”, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, 25-29 July, 2005, vol. 8, pp. 5651-5654.
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.
P. Kempeneers, “Information Extraction from Hyperspectral Images Applied to Vegetation”, 2007.
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., Zarco-Tejada, P. J., Delalieux, S., Sepulcre-Cantó, G., Morales, F., Sagardoy, R., van Aardt, J., Coppin, P., and Scheunders, P., “Chlorophyll retrieval from canopy reflectance over orchards using hyperspectral techniques”, in 2nd International Symposium on Recent Advances in Quantitative Remote Sensing, 25-29 September 2006, Torrent (Valencia), Spain, 2006.
P. Kempeneers, Zarco-Tejada, P. J., North, P. R. J., De Backer, S., Delalieux, S., Sepulcre-Canto, G., Morales, F., van Aardt, J., Sagardoy, R., Coppin, P., and Scheunders, P., “Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery”, International Journal of Remote Sensing, vol. 29, pp. 5093-5111, 2008.
P. Kempeneers, De Backer, S., Tejada, Z. P. J., Delalieux, S., Canto, S. G., Iribas, M. F., van Aardt, J., Coppin, P., and Scheunders, P., “Stress detection in orchards with hyperspectral remote sensing data”, in SPIE Remote Sensing, Stockholm, Sweden, september 11-14, 2006, vol. 6359.
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. Kempeneers, De Backer, S., Debruyn, W., Provoost, S., and Scheunders, P., “Hyperspectral classification applied to the Belgian coastline”, in SPIE Remote Sensing, Bruges, Belgium, 19-22 september, 2005, vol. 5982.
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.
D. Kazantsev, Van Eyndhoven, G., Lionheart, W. R. B., Withers, P. J., Dobson, K. J., McDonald, S. A., Atwood, R., and Lee, P. D., “Employing temporal self-similarity across the entire time domain in computed tomography reconstruction”, Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 373, 2015.
D. Kazantsev, Thompson, W. M., Lionheart, W. R. B., Van Eyndhoven, G., Kaestner, A. P., Dobson, K. J., Withers, P. J., and Lee, P. D., “4D-CT reconstruction with unified spatial-temporal patch-based regularization”, Inverse Problems and Imaging, vol. 9, no. 2, pp. 447-467, 2015.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
A. Karami, M.Yazdi,, and Zolghadre, A., “Best Rank-r Tensor Selection Using Genetic Algorithm for Better Noise Reduction and Compression of Hyperspectral Images”, International Conference on Digital Information Management . 2010.
A. Karami, R.Heylen,, and Scheunders, P., “Lossy Compression of Hyperspectral Images Optimizing Spectral Unmixing”, in IGARSS 2015, Milan, Italy, 2015.
A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., “Coordination of UPFC & SVC for Voltage Security Enhancement”, WSEAS Transactions on Circuits and Systems, vol. 5, no. 1, 2006.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
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.
A. Karami, M.Yazdi,, and Zolghadre, A., “Hyperspectral Image Compression Based on Tucker Decomposition and Discrete Cosine Transform”, International Conference on Image Processing Theory, Tools and Applications. 2010.
A. Karami, M.Yazdi,, and Zolghadre, A., “Compression and Noise Reduction of Hyperspectral Images Using Hybrid Genetic Algorithm and Nonnegative Tucker Decomposition”, International Journal of Information studies , vol. 2, no. 4, 2010.
A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., “Voltage Security Enhancement by Optimal FACTS Location via RGA”, TPE conference. 2006.
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.
A. Karami, M.Yazdi,, and Mercier, G., “Hyperspectral Image Compression based on Tucker Decomposition and Wavelet Transform”, WHISPERS . Lisbon, Portugal, 2011.
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.
A. Karami, M.Yazdi,, and Mercier, G., “Compression and Noise Reduction of Hyperspectral Images using Tucker Decomposition and Discrete Wavelet Transform”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 2, 2012.

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