Paul Scheunders
Publications
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Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018
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MRF-based decision fusion for hyperspectral image classification
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Advanced Concepts for Intelligent Vision Systems - 18th International Conference, ACIVS 2017
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Advanced Concepts for Intelligent Vision Systems - 17th International Conference, ACIVS 2016
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Classification of hyperspectral images with very small training size using sparse unmixing
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LiDAR Information Extraction by Attribute Filters with Partial Reconstruction
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The application of Big Data Analysis techniques in GSR research : a novel approach to an ever evolving forensic discipline.
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Advanced Concepts for Intelligent Vision Systems - 16th international conference, ACIVS 2015
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Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and Guided filter
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Advanced Concepts for Intelligent Vision Systems - 15th International Conference, ACIVS 2013
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Semi-Supervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images
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Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012
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Advanced Concepts for Intelligent Vision Systems, 13th international conference, ACIVS 2011
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Advanced Concepts for Intelligent Vision Systems, 12th international conference, ACIVS 2010
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Advanced Concepts for Intelligent Vision Systems, 11th international conference, ACIVS 2009
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Advanced Concepts for Intelligent Vision Systems, 10th international conference, ACIVS 2008
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Denoising of Multicomponent Images Using Wavelet Least-Squares Estimators
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Bayesian Wavelet-based Denoising of Multicomponent Images
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Advanced Concepts for Intelligent Vision Systems, 8th international conference, ACIVS 2006, Antwerp, Belgium
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Advanced Concepts for Intelligent Vision Systems, 7th international conference, ACIVS 2005, Antwerp, Belgium
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Wavelet domain denoising of multispectral remote sensing imagery adapted to the local spatial and spectral context
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Wavelet domain denoising of single-band and multi-band images adapted to the probability of the presence of features of interest
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Multiresolution multispectral image denoising based on probability of presence of features of interest