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Remote sensing

Multispectral and hyperspectral satellite and aerial image processing and analysis

Coordination of UPFC & SVC for Voltage Security Enhancement

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.

Compression and Noise Reduction of Hyperspectral Images Using Hybrid Genetic Algorithm and Nonnegative Tucker Decomposition

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.

Compression and Noise Reduction of Hyperspectral Images using Tucker Decomposition and Discrete Wavelet Transform

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.

Noise Reduction of Hyperspectral Images Using Kernel Nonnegative Tucker Decomposition

A. Karami, M.Yazdi,, and Zolghadre, A., “Noise Reduction of Hyperspectral Images Using Kernel Nonnegative Tucker Decomposition”, IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, 2011.

Domain adaptation with Hidden Markov Random Fields

J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Haest, B., and Scheunders, P., “Domain adaptation with Hidden Markov Random Fields”, in Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, Melbourne, VIC, Australia, 2013, pp. 3112-3115.

Hyperspectral remote sensing data analysis and future challenges

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.

Detecting the adjacency effect in hyperspectral imagery with spectral unmixing techniques

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.

Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratio's

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.

Contextual Subpixel Mapping of Hyperspectral Images Making Use of a High Resolution Color Image

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.

ACIVS 2012, Advanced Concepts for Intelligent Vision Systems

J. Blanc-Talon, Philips, W., Popescu, D., Scheunders, P., and Zemcik, P., “ACIVS 2012, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 7517. Springer, 2012.

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