Tomography 6.2.1 Plan of the PIXSCAN prototype Figure 6.3: Plan of the prototype PIXSCAN Bibliography [1] I, Wavelet-based 2-d multichannel signal estimation. Image Processing, 2000. ,
DYNAMIC PROGRAMMING AND LAGRANGE MULTIPLIERS, Proceedings of the National Academy of Sciences ,
DOI : 10.1073/pnas.42.10.767
URL : http://doi.org/10.1073/pnas.42.10.767
Classification of hyperspectral data from urban areas based on extended morphological profiles. Geoscience and Remote Sensing, IEEE Transactions on, vol.43, issue.3, pp.480-491, 2005. ,
Hyperspectral subspace identification. Geoscience and Remote Sensing, IEEE Transactions on, vol.46, issue.8, pp.2435-2445, 2008. ,
DOI : 10.1109/tgrs.2008.918089
URL : http://www.lx.it.pt/~bioucas/files/hysime_ieeetgrs_08.pdf
Analysis of individual differences in multidimensional scaling via an n-way generalization of ???Eckart-Young??? decomposition, Psychometrika, vol.12, issue.3, pp.283-319, 1970. ,
DOI : 10.1007/BF02310791
Analysis of individual differences in multidimensional scaling via an n-way generalization of ???Eckart-Young??? decomposition, Psychometrika, vol.12, issue.3, pp.283-319, 1970. ,
DOI : 10.1007/BF02310791
Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method, British Journal of Mathematical and Statistical Psychology, vol.31, issue.1, pp.133-150, 2006. ,
DOI : 10.1007/978-3-642-95461-0_2
Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer Academic, 2003. ,
DOI : 10.1007/978-1-4419-9170-6
Estimation of number of spectrally distinct signal sources in hyperspectral imagery. Geoscience and Remote Sensing, IEEE Transactions on, vol.42, issue.3, pp.608-619, 2004. ,
Multivariate Image Processing. Wiley- ISTE, British Library Cataloguing-in-Publication Data, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00449464
Tribe-PSO: A novel global optimization algorithm and its application in molecular docking, Chemometrics and Intelligent Laboratory Systems, vol.82, issue.1-2, pp.248-259, 2006. ,
DOI : 10.1016/j.chemolab.2005.06.017
The past, present, and future of image and multidimensional signal processing, IEEE Signal Processing Magazine, vol.15, issue.2, pp.21-58, 1998. ,
DOI : 10.1109/79.664673
Using highresolution airborne and satellite imagery to assess crop growth and yield variability for precision agriculture, Proc. IEEE, pp.582-592, 2013. ,
Multimodal score-level fusion using hybrid ga-pso for multibiometric system, Informatica, vol.39, pp.209-216, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-01568413
Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems, Journal of Geophysical Research: Planets, vol.108, issue.E12, 2003. ,
DOI : 10.1029/2002JE001975
Tribes-un exemple d'oxptimisation par essaim particulaire sans parametres de contrôle. Optimisation par Essaim Particulaire, p.64, 2003. ,
A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds, SIAM Journal on Numerical Analysis, vol.28, issue.2, pp.545-572, 1991. ,
DOI : 10.1137/0728030
Performance evaluation of TRIBES, an adaptive particle swarm optimization algorithm, Swarm Intelligence, vol.34, issue.4, pp.149-178, 2009. ,
DOI : 10.1007/BFb0040810
URL : https://hal.archives-ouvertes.fr/hal-00916854
Lower-Rank Tensor Approximation and Multiway Filtering, SIAM Journal on Matrix Analysis and Applications, vol.30, issue.3, pp.1172-1204, 2008. ,
DOI : 10.1137/060653263
URL : https://hal.archives-ouvertes.fr/hal-00325025
Ten lectures on wavelets, CBMS-NSF Lecture Notes, SIAM, issue.61, 1992. ,
Multispectral data analysis:a signal theory perspective, 1998. ,
Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures, IEEE Transactions on Signal Processing, vol.55, issue.6, pp.2965-2973, 2007. ,
DOI : 10.1109/TSP.2007.893943
A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000. ,
DOI : 10.1137/S0895479896305696
) Approximation of Higher-Order Tensors, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1324-1342, 2000. ,
DOI : 10.1137/S0895479898346995
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities, Medical Image Analysis, vol.18, issue.1, pp.176-196, 2014. ,
DOI : 10.1016/j.media.2013.10.005
URL : https://infoscience.epfl.ch/record/196101/files/depeursinge1401.pdf
Combination of Genetic Algorithm and Ant Colony Algorithm for Distribution Network Planning, 2007 International Conference on Machine Learning and Cybernetics, pp.999-1002, 2007. ,
DOI : 10.1109/ICMLC.2007.4370288
High-dimensional data analysis : the curse and blessing of dimensionality . Math Challenges of the 21st Century, 2000. ,
Photon Counting Spectral Tomography: Development of the Prototype PIXSCAN and Proof of Concept. Theses, 2014. ,
URL : https://hal.archives-ouvertes.fr/tel-01019735
A new optimizer using particle swarm theory, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp.39-43, 1995. ,
DOI : 10.1109/MHS.1995.494215
The approximation of one matrix by another of lower rank, Psychometrika, vol.1, issue.3, pp.211-218, 1936. ,
DOI : 10.1007/BF02288367
The approximation of one matrix by another of lower rank, Psychometrika, vol.1, issue.3, pp.211-218, 1936. ,
DOI : 10.1007/BF02288367
Exploring for onshore oil seeps with hyperspectral imaging, Oil Gas J, vol.99, issue.37, pp.49-58, 2001. ,
A comparison of hyperspectral reflectance and fluorescence imaging techniques for detection of contaminants on spinach leaves, Journal of Food Engineering, vol.143, pp.139-145, 2014. ,
DOI : 10.1016/j.jfoodeng.2014.06.042
Implementing the Nelder-Mead simplex algorithm with??adaptive parameters, Computational Optimization and Applications, vol.95, issue.1, pp.259-277, 2010. ,
DOI : 10.1016/0022-247X(83)90112-9
Incorporating priors for medical image segmentation using a genetic algorithm, Neurocomputing, vol.195, 2016. ,
DOI : 10.1016/j.neucom.2015.09.123
Genetic algorithms in search optimization and machine learning, 1989. ,
A transformation for ordering multispectral data in terms of image quality with implications for noise removal. Geoscience and Remote Sensing, IEEE Transactions on, vol.26, issue.1, pp.65-74, 1988. ,
AVIRIS: A New Approach to Earth Remote Sensing, Optics and Photonics News, vol.6, issue.1, p.30, 1995. ,
DOI : 10.1364/OPN.6.1.000030
Optimal Wiener and homomorphic filtration: Review, Signal Processing, vol.121, pp.111-138, 2016. ,
DOI : 10.1016/j.sigpro.2015.11.006
Foundations of the parafac procedure: Models and conditions for an "explanatory" multi-modal factor analysis. UCLA working papers in phonetics, pp.1-84, 1970. ,
Book Review : Three-Mode Principal Component Analysis, Applied Psychological Measurement, vol.31, issue.3, pp.327-332, 1985. ,
DOI : 10.1007/BF02289464
N-way principal component analysis theory, algorithms and applications, Chemometrics and Intelligent Laboratory Systems, vol.25, issue.1, pp.1-23, 1994. ,
DOI : 10.1016/0169-7439(93)E0086-J
Advances in hyperspectral processing for province- and continental- wide mineral mapping, 2009 IEEE International Geoscience and Remote Sensing Symposium, pp.701-704, 2009. ,
DOI : 10.1109/IGARSS.2009.5417473
The Expression of a Tensor or a Polyadic as a Sum of Products, Journal of Mathematics and Physics, vol.6, issue.1-4, pp.164-189, 1927. ,
DOI : 10.1002/sapm192761164
Multiple Invariants and Generalized Rank of a P-Way Matrix or Tensor, Journal of Mathematics and Physics, vol.7, issue.1-4, pp.39-79, 1927. ,
DOI : 10.1002/sapm19287139
Adaptation In Natural And Artificial Systems, 1992. ,
Genetic Algorithms, Scientific American, vol.267, issue.1, pp.66-72, 1992. ,
DOI : 10.1038/scientificamerican0792-66
Handbook of Machine Vision, 2006. ,
DOI : 10.1002/9783527610136
Maximum likelihood restoration and choice of smoothing parameter in deconvolution of image data subject to Poisson noise, Computational Statistics & Data Analysis, vol.26, issue.4, pp.393-410, 1998. ,
DOI : 10.1016/S0167-9473(97)00041-8
Lipschitzian optimization without the Lipschitz constant, Journal of Optimization Theory and Applications, vol.20, issue.1, pp.157-181, 1993. ,
DOI : 10.1007/BF00941892
A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.2, pp.997-1006, 2004. ,
DOI : 10.1109/TSMCB.2003.818557
Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image, Biomedical Signal Processing and Control, vol.8, issue.6, pp.755-763, 2013. ,
DOI : 10.1016/j.bspc.2013.07.001
Particle swarm optimization, Proceedings of ICNN'95, International Conference on Neural Networks, pp.1942-1948, 1995. ,
DOI : 10.1109/ICNN.1995.488968
Low rank Tucker-type tensor approximation to classical potentials, Central European Journal of Mathematics, vol.23, issue.3, pp.523-550, 2007. ,
DOI : 10.2478/s11533-007-0018-0
Towards a standardized notation and terminology in multiway analysis, Journal of Chemometrics, vol.56, issue.3, pp.105-122, 2000. ,
DOI : 10.1007/BF02294485
Three-way component analysis: Principles and illustrative application., Psychological Methods, vol.6, issue.1, pp.84-110, 2001. ,
DOI : 10.1037/1082-989X.6.1.84
Orthogonal Tensor Decompositions, SIAM Journal on Matrix Analysis and Applications, vol.23, issue.1, pp.243-255, 2001. ,
DOI : 10.1137/S0895479800368354
Orthogonal Tensor Decompositions, SIAM Journal on Matrix Analysis and Applications, vol.23, issue.1, pp.243-255, 2001. ,
DOI : 10.1137/S0895479800368354
Orthogonal Tensor Decompositions, SIAM Journal on Matrix Analysis and Applications, vol.23, issue.1, pp.243-255, 2001. ,
DOI : 10.1137/S0895479800368354
Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009. ,
DOI : 10.1137/07070111X
Visualization of Hyperspectral Images Using Bilateral Filtering, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.5, pp.2308-2316, 2010. ,
DOI : 10.1109/TGRS.2009.2037950
Three-mode principal component analysis, 1983. ,
Three-mode principal component analysis, 1983. ,
Principal component analysis of three-mode data by means of alternating least squares algorithms, Psychometrika, vol.45, issue.1, pp.69-97, 1980. ,
DOI : 10.1007/BF02293599
Principal component analysis of three-mode data by means of alternating least squares algorithms, Psychometrika, vol.45, issue.1, pp.69-97, 1980. ,
DOI : 10.1007/BF02293599
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions, SIAM Journal on Optimization, vol.9, issue.1, pp.112-147, 1998. ,
DOI : 10.1137/S1052623496303470
Hyperspectral image data analysis, IEEE Signal Processing Magazine, vol.19, issue.1, pp.17-28, 2002. ,
DOI : 10.1109/79.974718
A Kronecker product approximate preconditioner for SANs, Numerical Linear Algebra with Applications, vol.11, issue.89, pp.723-752, 2004. ,
DOI : 10.1002/nla.344
A general method to devise maximum-likelihood signal restoration multiplicative algorithms with non-negativity constraints, Signal Processing, vol.81, issue.5, pp.945-974, 2001. ,
DOI : 10.1016/S0165-1684(00)00275-9
URL : https://hal.archives-ouvertes.fr/hal-00079527
Signal processing based on Multilinear Algebra, ESAT), 1997. ,
A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-78, 2000. ,
DOI : 10.1137/S0895479896305696
) Approximation of Higher-Order Tensors, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1324-1342, 2000. ,
DOI : 10.1137/S0895479898346995
) Approximation of Higher-Order Tensors, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1324-1342, 2000. ,
DOI : 10.1137/S0895479898346995
Adaptive Flattening for Multidimensional Image Restoration, IEEE Signal Processing Letters, vol.15, pp.229-232, 2008. ,
DOI : 10.1109/LSP.2007.916045
URL : https://hal.archives-ouvertes.fr/hal-00201970
Noise Removal From Hyperspectral Images by Multidimensional Filtering, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.7, pp.2061-2069, 2008. ,
DOI : 10.1109/TGRS.2008.916641
URL : https://hal.archives-ouvertes.fr/hal-00204097
Main flattening directions and Quadtree decomposition for multi-way Wiener filtering, Signal, Image and Video Processing, vol.153, issue.2, pp.253-256, 2007. ,
DOI : 10.1007/s11760-007-0022-7
URL : https://hal.archives-ouvertes.fr/hal-00167871
Nonorthogonal Tensor Matricization for Hyperspectral Image Filtering, IEEE Geoscience and Remote Sensing Letters, vol.5, issue.1, pp.3-7, 2008. ,
DOI : 10.1109/LGRS.2007.905117
URL : https://hal.archives-ouvertes.fr/hal-00167856
Using hyperspectral imagery to estimate forest floor consumption from wildfire in boreal forests of Alaska, USA, International Journal of Wildland Fire, vol.20, issue.2, pp.255-271, 2011. ,
DOI : 10.1071/WF09081
A multilinear singular value decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000. ,
Remote sensing and image interpretation, 2004. ,
Hyperspectral Image Processing by Jointly Filtering Wavelet Component Tensor, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.6, pp.3529-3541, 2013. ,
DOI : 10.1109/TGRS.2012.2225065
URL : https://hal.archives-ouvertes.fr/hal-01281015
Survey of hyperspectral image denoising methods based on tensor decompositions, EURASIP Journal on Advances in Signal Processing, vol.319, issue.12, p.2013 ,
DOI : 10.1137/060653263
URL : https://hal.archives-ouvertes.fr/hal-01281026
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length, Digital Signal Processing, vol.51, pp.110-123, 2016. ,
DOI : 10.1016/j.dsp.2016.01.003
Genetic algorithm and mathematical morphology based binarization method for strip steel defect image with non-uniform illumination, Journal of Visual Communication and Image Representation, vol.37, pp.70-77, 2016. ,
DOI : 10.1016/j.jvcir.2015.04.005
Text representation: from vector to tensor, Fifth IEEE International Conference on Data Mining, pp.725-728, 2005. ,
Denoising of Hyperspectral Images Using the PARAFAC Model and Statistical Performance Analysis, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.10, pp.503717-3724, 2012. ,
DOI : 10.1109/TGRS.2012.2187063
URL : https://hal.archives-ouvertes.fr/hal-01280605
Denoising of Hyperspectral Images Using the PARAFAC Model and Statistical Performance Analysis, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.10, pp.3717-3724, 2012. ,
DOI : 10.1109/TGRS.2012.2187063
URL : https://hal.archives-ouvertes.fr/hal-01280605
Nonwhite Noise Reduction in Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, vol.9, issue.3, pp.368-372, 2012. ,
DOI : 10.1109/LGRS.2011.2169041
URL : https://hal.archives-ouvertes.fr/hal-01280594
Reduction of signal-dependent noise from hyperspectral images for target detection, IEEE trans. Geoscience and Remote Sensing, vol.52, issue.9, pp.5396-5411, 2014. ,
Genetic algorithms: concepts and designs, 2012. ,
DOI : 10.1007/978-1-4471-0577-0
Particle swarm optimization for blurred contour retrieval, Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, pp.810-814, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01281145
Advanced Concepts for Intelligent Vision Systems, 16th International Conference Proceedings, chapter Improvement of a Wavelet-Tensor Denoising Algorithm by Automatic Rank Estimation, pp.779-790, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01280934
Advanced Concepts for Intelligent Vision Systems, 10th International Conference Proceedings, chapter Contour Detection for Industrial Image Processing by Means of Level Set Methods, pp.655-663, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-01280934
About Advances in Tensor Data Denoising Methods, EURASIP Journal on Advances in Signal Processing, vol.2008, issue.1, pp.1-13, 2008. ,
DOI : 10.1007/s001380050046
URL : https://hal.archives-ouvertes.fr/hal-00311886
Grey wolf optimizer Advances in Engineering Software, pp.46-61, 2014. ,
An introduction to genetic algorithms, 1998. ,
Topographic components model for event-related potentials and some biophysical considerations, IEEE Transactions on Biomedical Engineering, vol.35, issue.6, pp.482-484, 1988. ,
DOI : 10.1109/10.2119
Comparison of multiple watermarking techniques using genetic algorithms, Journal of Electrical Systems and Information Technology, vol.3, issue.1, 2016. ,
DOI : 10.1016/j.jesit.2015.11.009
A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy, Applied Soft Computing, vol.43, pp.117-130, 2016. ,
DOI : 10.1016/j.asoc.2016.01.044
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach, IEEE Transactions on Medical Imaging, vol.30, issue.2, pp.366-374, 2011. ,
DOI : 10.1109/TMI.2010.2078832
Multidimensional filtering based on a tensor approach, Signal Processing, vol.85, issue.12, pp.2338-2353, 2005. ,
DOI : 10.1016/j.sigpro.2004.11.029
URL : https://hal.archives-ouvertes.fr/hal-00082677
Multidimensional filtering based on a tensor approach, Signal Processing, vol.85, issue.12, pp.2338-2353, 2005. ,
DOI : 10.1016/j.sigpro.2004.11.029
URL : https://hal.archives-ouvertes.fr/hal-00082677
ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned Systems, IEEE Transactions on Signal Processing, vol.52, issue.2, pp.418-433, 2004. ,
DOI : 10.1109/TSP.2003.821103
URL : http://cmc.rice.edu/docs/docs/Nee2002Sep1ForWaRDFou.pdf
Parallel factor analysis in sensor array processing, IEEE Transactions on Signal Processing, issue.8, p.48, 2000. ,
A PARAFAC-based technique for detection and localization of multiple targets in a MIMO radar system, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ,
DOI : 10.1109/ICASSP.2009.4960024
Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO Radar, IEEE Transactions on Signal Processing, vol.58, issue.11, pp.5693-5705, 2010. ,
DOI : 10.1109/TSP.2010.2058802
Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage. Geoscience and Remote Sensing, IEEE Transactions on, vol.44, issue.2, pp.397-408, 2006. ,
Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, pp.629-639, 1990. ,
DOI : 10.1109/34.56205
URL : http://www.cs.huji.ac.il/~cheny/reading/diffusion/classic.pdf
Information Fusion in the Redundant-Wavelet-Transform Domain for Noise-Robust Hyperspectral Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.9, pp.1-13, 2012. ,
DOI : 10.1109/TGRS.2012.2185053
Particle Systems---a Technique for Modeling a Class of Fuzzy Objects, ACM Transactions on Graphics, vol.2, issue.2, pp.91-108, 1983. ,
DOI : 10.1145/357318.357320
Improvement of Target Detection Methods by Multiway Filtering, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.8, pp.2407-2417, 2008. ,
DOI : 10.1109/TGRS.2008.918419
URL : https://hal.archives-ouvertes.fr/hal-00250104
Dimensionality Reduction Based on Tensor Modeling for Classification Methods, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.4, pp.1123-1131, 2009. ,
DOI : 10.1109/TGRS.2008.2008903
Denoising and Dimensionality Reduction Using Multilinear Tools for Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, vol.5, issue.2, pp.138-142, 2008. ,
DOI : 10.1109/LGRS.2008.915736
URL : https://hal.archives-ouvertes.fr/hal-00174308
Denoising and Dimensionality Reduction Using Multilinear Tools for Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, vol.5, issue.2, pp.138-142, 2008. ,
DOI : 10.1109/LGRS.2008.915736
URL : https://hal.archives-ouvertes.fr/hal-00174308
Denoising and dimensionality reduction using multilinear tools for hyperspectral images. Geoscience and Remote Sensing Letters, IEEE, vol.5, issue.2, pp.138-142, 2008. ,
DOI : 10.1109/lgrs.2008.915736
URL : https://hal.archives-ouvertes.fr/hal-00174308
A new method for multidimensional optimization and its application in image and video processing, IEEE Signal Processing Letters, vol.13, issue.8, pp.485-488, 2006. ,
DOI : 10.1109/LSP.2006.873142
Contemporary Evolution Strategies. Taylor and francis Group edition, 1995. ,
DOI : 10.1007/3-540-59496-5_351
URL : ftp://ftp.cse.cuhk.edu.hk/pub/EC/ES/papers/ecal95.ps.gz
Efficient detection in hyperspectral imagery, IEEE Transactions on Image Processing, vol.10, issue.4, pp.584-597, 2001. ,
DOI : 10.1109/83.913593
URL : http://www.ece.cmu.edu/~moura/papers/schweitzer_effhyperspectral.pdf
Signal processing for hyperspectral image exploitation, IEEE Signal Processing Magazine, vol.19, issue.1, pp.12-16, 2002. ,
DOI : 10.1109/79.974715
On the uniqueness of multilinear decomposition ofN-way arrays, Journal of Chemometrics, vol.48, issue.3, pp.229-239, 2000. ,
DOI : 10.1002/1099-128X(200005/06)14:3<229::AID-CEM587>3.0.CO;2-N
Blind PARAFAC receivers for DS-CDMA systems, IEEE Transactions on Signal Processing, vol.48, issue.3, pp.810-823, 2000. ,
DOI : 10.1109/78.824675
URL : http://spincom.ece.umn.edu/papers/journal/2000/SP_Parafac.pdf
Three-Dimensional Video Postproduction and Processing, Proceedings of the IEEE, pp.607-625, 2011. ,
DOI : 10.1109/JPROC.2010.2098350
WAR HORSE (wide-area reconnaissance: hyperspectral overhead real-time surveillance experiment), Automatic Target Recognition XI ,
DOI : 10.1117/12.445382
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams, Sixth International Conference on Data Mining (ICDM'06), pp.1076-1080, 2006. ,
DOI : 10.1109/ICDM.2006.169
URL : http://www.cs.cmu.edu/~spapadim/pdf/ts_icdm06.pdf
CubeSVD, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.382-390, 2005. ,
DOI : 10.1145/1060745.1060803
Benefits of consistency in image denoising with steerable wavelets, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1355-1358, 2013. ,
DOI : 10.1109/ICASSP.2013.6637872
Three-mode principal components analysis: Choosing the numbers of components and sensitivity to local optima, British Journal of Mathematical and Statistical Psychology, vol.53, issue.1, pp.1-16, 2000. ,
DOI : 10.1348/000711000159132
An assessment of independent component analysis for detection of military targets from hyperspectral images, International Journal of Applied Earth Observation and Geoinformation, vol.13, issue.5 ,
DOI : 10.1016/j.jag.2011.03.007
Coarse-grained parallel genetic algorithm for solving the timetable problem, Proceedings of 3rd Annual National Symposium on Computational Science and Engineering (ANSCSE), pp.345-353, 1999. ,
Problems in Measuring Change, chapter Implications of factor analysis of three-way matrices for measurement of change, pp.122-137, 1963. ,
The extension of factor analysis to three-dimensional matrices, chapter, Contributions to Mathematical Psychology, 1964. ,
Some mathematical notes on three-mode factor analysis, Psychometrika, vol.64, issue.3, pp.279-311, 1966. ,
DOI : 10.1007/BF02289464
The airborne visible/infrared imaging spectrometer (AVIRIS), Remote Sensing of Environment, vol.44, issue.2-3, pp.127-143, 1993. ,
DOI : 10.1016/0034-4257(93)90012-M
Multilinear Independent Components Analysis, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.547-553, 2005. ,
DOI : 10.1109/CVPR.2005.240
URL : http://www.mrl.nyu.edu/~dt/papers/cvpr05/cvpr05.pdf
Multilinear Analysis of Image Ensembles: TensorFaces, Proceedings of the 7th European Conference on Computer Vision, pp.447-460, 2002. ,
DOI : 10.1007/3-540-47969-4_30
Nonparametric Framework for Detecting Spectral Anomalies in Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, vol.8, issue.4, pp.666-670, 2011. ,
DOI : 10.1109/LGRS.2010.2099103
Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004. ,
DOI : 10.1109/TIP.2003.819861
URL : http://www.cns.nyu.edu/~zwang/files/papers/ssim.pdf
Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004. ,
DOI : 10.1109/TIP.2003.819861
URL : http://www.cns.nyu.edu/~zwang/files/papers/ssim.pdf
Detection of signals by information theoretic criteria, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.33, issue.2 ,
DOI : 10.1109/TASSP.1985.1164557
Minimum Rank Solutions to the Matrix Approximation Problems in the Spectral Norm, SIAM Journal on Matrix Analysis and Applications, vol.33, issue.3, pp.940-957, 2012. ,
DOI : 10.1137/110851134
Reconstruction of 3D surface maps from anterior segment optical coherence tomography images using graph theory and genetic algorithms, Biomedical Signal Processing and Control, vol.25, pp.91-98, 2016. ,
DOI : 10.1016/j.bspc.2015.11.004
A vision inspection system for the surface defects of strongly reflected metal based on multi-class SVM, Expert Systems with Applications, vol.38, issue.5, pp.5930-5939, 2011. ,
DOI : 10.1016/j.eswa.2010.11.030
Vegetational spectral characteristics in hongtoushan mining area, liaoning province: Potential of hyperspectral remote sensing in environment monitoring, Remote Sensing, pp.1-4, 2012. ,
Machine training and parameter settings with social emotional optimization algorithm for support vector machine, Pattern Recognition Letters, vol.54, pp.36-42, 2015. ,
DOI : 10.1016/j.patrec.2014.11.011
Parameter identification of nonlinear dynamic systems using an improved particle swarm optimization, Optik - International Journal for Light and Electron Optics, vol.127, issue.19, pp.7865-7874, 2016. ,
DOI : 10.1016/j.ijleo.2016.05.145
Real-time image-based b-mode ultrasound image simulation of needles using tensor-product interpolation, IEEE Transactions on Medical Imaging, vol.30, issue.7, pp.1391-1400, 2011. ,
Nonnegative matrix factorization with spatial prior and reference spectra application to remote hyperspectral image understanding, 2014 5th European Workshop on Visual Information Processing (EUVIP), pp.1-6, 2014. ,
DOI : 10.1109/EUVIP.2014.7018397
URL : https://hal.archives-ouvertes.fr/hal-01281155
Automatic rank estimation of Parafac decomposition and application to multispectral image wavelet denoising, 2016 IEEE International Conference on Image Processing (ICIP), pp.3101-3105, 2016. ,
DOI : 10.1109/ICIP.2016.7532930
Bio-Inspired Optimization Algorithms for Automatic Estimation of Multiple Subspace Dimensions in a Tensor-Wavelet Denoising Algorithm, Journal of Remote Sensing Technology, vol.4, issue.1, pp.90-114, 2016. ,
DOI : 10.18005/JRST0401008
Unmixing of Hyperspectral Images with Pure Prior Spectral Pixels, Proceedings of the 10th International Conference on Computer Vision Theory and Applications, pp.153-158, 2015. ,
DOI : 10.5220/0005311101530158
URL : https://hal.archives-ouvertes.fr/hal-01281168
Multispectral image denoising in wavelet domain with unsupervised tensor subspace-based method, 2016 6th European Workshop on Visual Information Processing (EUVIP), pp.1-6, 2016. ,
DOI : 10.1109/EUVIP.2016.7764599