Remote Sensing

Remote Sensing is the research area in which earth's surface is studied, usually using the reflectance spectrum of the sun. Vision Lab has built expertise in the processing and analysis of multispectral and hyperspectral remote sensing images. Topics of research include the development of techniques for image denoising, restoration, fusion, segmentation, classification and spectral unmixing. Main application domains are vegetation monitoring for which we collaborate with the Teleprocessing group of VITO (Flemish Institute for Technological Research).

Journal publications

2012

G. Thoonen, Z. Mahmood, S. Peeters, and P. Scheunders, "Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion", Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 5, no. 2, pp. 510 - 521, 2012.
G. Verdoolaege, and P. Scheunders, "On the geometry of Multivariate Generalized Gaussian models", Journal of Mathematical Imaging and Vision, vol. 43, issue 3, pp. 180-193, 2012.

2011

R. Heylen, D. Burazerovic, and P. Scheunders, "Fully constrained least-squares spectral unmixing by simplex projection", IEEE Transactions on Geoscience and Remote Sensing, vol. 49, issue 11, pp. 4112-4122, 2011. PDF (1.11 MB) Matlab code (1.93 KB)
Z. Mahmood, and P. Scheunders, "Enhanced visualization of hyperspectral images", IEEE Geoscience and Remote Sensing letters, vol. 8, no. 5, pp. 869-873, 2011.
R. Heylen, D. Burazerovic, and P. Scheunders, "Nonlinear spectral unmixing by geodesic simplex volume maximization", IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, pp. 534-542, 2011.

2010

2009

Y. Zhang, S. De Backer, and P. Scheunders, "Noise-resistant wavelet-based Bayesian fusion of multispectral and hyperspectral images", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3834-3843, 2009.
A. Duijster, P. Scheunders, and S. De Backer, "Wavelet-Based EM Algorithm for Multispectral-Image Restoration", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3892-3898, November, 2009.

Pages