Morphological operators for color image processing based on Mahalanobis distance measure, Optical Engineering, vol.42, issue.9, 2003. ,
DOI : 10.1117/1.1594727
Signal and Image Restoration Using Shock Filters and Anisotropic Diffusion, SIAM Journal on Numerical Analysis, vol.31, issue.2, 1994. ,
DOI : 10.1137/0731032
Singular value decompositions and digital image processing, Speech, Signal Processing, pp.2-6, 1976. ,
DOI : 10.1109/TASSP.1976.1162766
Morphological colour operators in totally ordered lattices based on distances: Application to image filtering, enhancement and analysis, Computer Vision and Image Understanding, vol.107, issue.1-2, pp.0-7, 2007. ,
DOI : 10.1016/j.cviu.2006.11.008
Stochastic watershed segmentation, Mathematical Morphology and its Applications to Image and Signal Processing, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-01104256
Color segmentation by ordered mergings, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.1-2, 2003. ,
DOI : 10.1109/ICIP.2003.1246632
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.2974
A comparative study on multivariate mathematical morphology, Pattern Recognition, vol.40, issue.11, 2007. ,
DOI : 10.1016/j.patcog.2007.02.004
URL : https://hal.archives-ouvertes.fr/hal-00512660
On lexicographical ordering in multivariate mathematical morphology, Pattern Recognition Letters, vol.29, issue.2, 2008. ,
DOI : 10.1016/j.patrec.2007.09.011
URL : https://hal.archives-ouvertes.fr/hal-00512667
On the morphological processing of hue, Image and Vision Computing, vol.27, issue.9, pp.1394-1401, 2009. ,
DOI : 10.1016/j.imavis.2008.12.007
URL : https://hal.archives-ouvertes.fr/hal-00512701
Vector median filters, Proceedings of the IEEE, vol.78, issue.4, pp.678-689, 1990. ,
DOI : 10.1109/5.54807
Near-infrared hyperspectral imaging for grading and classification of pork, Meat Science, vol.90, issue.1, pp.0-2, 2011. ,
DOI : 10.1016/j.meatsci.2011.07.011
The ordering of multivariate data (with discussion), Journal of the Royal Stat. Soc. Series A, vol.1, issue.9 3, pp.3-4, 1976. ,
A review of image denoising algorithms, 2005. ,
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, Neural Computation, vol.15, issue.6, 2002. ,
DOI : 10.1126/science.290.5500.2319
Dynamic Programming.P r i n c e t o nU n i v e r s i t yP r e s s, 1957. ,
Classification of hyperspectral data from urban areas based on extended morphological profiles, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.3, pp.4-8, 2005. ,
DOI : 10.1109/TGRS.2004.842478
Classification and feature extraction for remote sensing images from urban areas based on morphological transformations, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.9, 2003. ,
DOI : 10.1109/TGRS.2003.814625
On Topological Watersheds, Journal of Mathematical Imaging and Vision, vol.34, issue.6, pp.22217-230, 2005. ,
DOI : 10.1007/s10851-005-4891-5
URL : https://hal.archives-ouvertes.fr/hal-00622398
Use of Watersheds in Contour Detection, International Workshop on Image Processing: Real-time Edge and Motion Detection/Estimation, 1979. ,
The morphological approach to segmentation: the watershed transformation Mathematical morphology in image processing, Optical Engineering, pp.3-4, 1993. ,
Random Set Framework for Context-Based Classification With Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.11, 2009. ,
DOI : 10.1109/TGRS.2009.2025497
Image noise models editor, Handbook of image and video processing, 2000. ,
Improvement of classification for hyperspectral images based on tensor modeling. Geoscience and Remote Sensing Letters, IEEE, vol.7, issue.4, 2010. ,
Convex Optimization, 2004. ,
Oil spill detection by satellite remote sensing, Remote Sensing of Environment, vol.95, issue.1, pp.1-1, 2005. ,
DOI : 10.1016/j.rse.2004.11.015
A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.9, pp.2587-2600, 2006. ,
DOI : 10.1109/TGRS.2006.875360
A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, 2005. ,
DOI : 10.1137/040616024
URL : https://hal.archives-ouvertes.fr/hal-00271141
Fast Cartoon + Texture Image Filters, IEEE Transactions on Image Processing, vol.19, issue.8, pp.1-9, 2010. ,
DOI : 10.1109/TIP.2010.2046605
URL : https://hal.archives-ouvertes.fr/hal-00453255
Semi-Supervised Graph-Based Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.10, 2007. ,
DOI : 10.1109/TGRS.2007.895416
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.6323
Kernel-based methods for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.6, pp.1-3, 2005. ,
DOI : 10.1109/TGRS.2005.846154
Topographic maps and local contrast changes in natural images, International Journal of Computer Vision, vol.3, issue.3 1, pp.5-7, 1999. ,
On Contour and Slope Lines. The Philosophical magazine, pp.8-10, 1859. ,
DOI : 10.1017/cbo9780511703706.025
Statistics of real-world hyperspectral images, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995660
Salt-and-pepper noise removal by mediantype noise detectors and detail-preserving regularization, IEEE Transaction on Image Processing, issue.10, pp.141479-1485, 2005. ,
DOI : 10.1109/tip.2005.852196
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.5815
Hyperspectral Imaging: Techniques for Spectral Detection and Classification, 2003. ,
DOI : 10.1007/978-1-4419-9170-6
Foreword to the Special Issue on Hyperspectral Image and Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.11, pp.483871-3876, 2010. ,
DOI : 10.1109/TGRS.2010.2085313
URL : https://hal.archives-ouvertes.fr/hal-00578882
Extending mathematical morphology to color image processing, International Conference on Color in Graphics and Image Processing, pp.1-5, 2000. ,
Is Denoising Dead?, IEEE Transactions on Image Processing, vol.19, issue.4, pp.895-911, 2010. ,
DOI : 10.1109/TIP.2009.2037087
Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features, ISPRS Journal of Photogrammetry and Remote Sensing, vol.58, issue.1-2, 2003. ,
DOI : 10.1016/S0924-2716(03)00014-5
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales, Remote Sensing of Environment, vol.96, issue.3-4, pp.9-15, 2005. ,
DOI : 10.1016/j.rse.2005.03.009
An algorithm for approximate closest-point queries, Proceedings of the tenth annual symposium on Computational geometry , SCG '94, pp.1-6, 1994. ,
DOI : 10.1145/177424.177609
Power Watershed: A Unifying Graph-Based Optimization Framework, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.7, pp.1384-1399, 2011. ,
DOI : 10.1109/TPAMI.2010.200
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.194
Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, pp.1-1, 2009. ,
DOI : 10.1109/TPAMI.2008.173
URL : https://hal.archives-ouvertes.fr/hal-00622410
Watershed Cuts: Thinnings, Shortest Path Forests, and Topological Watersheds, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.5, pp.9-11, 2010. ,
DOI : 10.1109/TPAMI.2009.71
URL : https://hal.archives-ouvertes.fr/hal-00729346
An Introduction to support vector machines and other kernel based learning methods, 2000. ,
DOI : 10.1017/CBO9780511801389
The random Tukey depth, Computational Statistics & Data Analysis, vol.52, issue.11, pp.4-9, 2008. ,
DOI : 10.1016/j.csda.2008.04.021
Robust estimation and classification for functional data via projection-based depth notions, Computational Statistics, vol.28, issue.3, pp.4-8, 2007. ,
DOI : 10.1007/s00180-007-0053-0
An extended projection data depth and its application to discrimination. Communication in Statistics -Theory and Methods, pp.2-2, 2008. ,
Self-dual Attribute Profiles for the Analysis of Remote Sensing Images, Mathematical Morphology and Its Applications to Image and Signal Processing, 2011. ,
DOI : 10.1007/978-3-642-21569-8_28
Morphological Attribute Profiles for the Analysis of Very High Resolution Images, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.10, 2010. ,
DOI : 10.1109/TGRS.2010.2048116
Breakdown properties of location estimates based on halfspace depth and projected outlyingness. The Annals of Statistics, 1992. ,
Multiscale Representation and Segmentation of Hyperspectral Imagery Using Geometric Partial Differential Equations and Algebraic Multigrid Methods, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.8, pp.462418-2434, 2008. ,
DOI : 10.1109/TGRS.2008.916478
Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier, 2006 IEEE International Symposium on Geoscience and Remote Sensing, pp.3-6, 2006. ,
DOI : 10.1109/IGARSS.2006.98
A newton-grassmann method for computing the best multi-linear rank-(r 1 ,r 2 ,r 3 )a p p r o x i m a t i o no fat e n s o r, SIAM J. Matrix Anal. Appl, vol.3, pp.1-2, 2009. ,
Local scale control for edge detection and blur estimation, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.2, issue.7, pp.0-6, 1998. ,
Noise adaptive soft-switching median filter, IEEE Transaction on Image Processing, vol.0, issue.1 2, pp.2-4, 2001. ,
Symmetric multivariate and related distributions. Number 36 in Monographs on statistics and applied probability, 1990. ,
Spectral and spatial classification of hyperspectral data using svms and morphological profiles, IEEE Transaction on Geoscience and Remote Sensing, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00283769
A spatial???spectral kernel-based approach for the classification of remote-sensing images, Pattern Recognition, vol.45, issue.1, 2012. ,
DOI : 10.1016/j.patcog.2011.03.035
URL : https://hal.archives-ouvertes.fr/hal-00798504
Multivariate mathematical morphology and Bayesian classifier application to colour and medical images, Image Processing: Algorithms and Systems VI, p.681203, 2008. ,
DOI : 10.1117/12.767521
Image segmentation and analysis via multiscale gradient watershed hierarchies, IEEE Transactions on Image Processing, vol.8, issue.1, pp.6-9, 1999. ,
DOI : 10.1109/83.736688
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.3325
The EM algorithm for mixtures of factor analyzers, 1997. ,
Image enhancement and denoising by complex diffusion processes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.8, p.5, 2004. ,
DOI : 10.1109/TPAMI.2004.47
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.4536
Regularized Shock Filters and Complex Diffusion, Proceeding of the 7th European Conference on Computer Vision-Part I, ECCV '02, pp.399-413, 2002. ,
DOI : 10.1007/3-540-47969-4_27
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.2051
Digital image processing.P r e n t i c eH a l l, 2008. ,
Morphological Operators for Image Sequences, Computer Vision and Image Understanding, vol.62, issue.3, pp.3-5, 1995. ,
DOI : 10.1006/cviu.1995.1058
Minimum Spanning Trees and Single Linkage Cluster Analysis, Applied Statistics, vol.18, issue.1, p.5, 1969. ,
DOI : 10.2307/2346439
Two lattice computing approaches for the unsupervised segmentation of hyperspectral images, Neurocomputing, pp.2-3, 1972. ,
Edge-preserving smoothing using a similarity measure in adaptive geodesic neighborhoods, Pattern Recognition, 2009. ,
A transformation for ordering multispectral data in terms of image quality with implications for noise removal, IEEE Transactions on Geoscience and Remote Sensing, vol.26, issue.1, pp.6-11, 1988. ,
DOI : 10.1109/36.3001
Mathematical morphology almost everywhere, Proc. of the ISMM'02, pp.2-9, 2002. ,
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture, Remote Sensing of Environment, vol.90, issue.3, pp.0-3, 2004. ,
DOI : 10.1016/j.rse.2003.12.013
Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach, IEEE Transactions on Geoscience and Remote Sensing, vol.32, issue.4, 0779. ,
DOI : 10.1109/36.298007
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.5825
Morphological Image Operators, 1994. ,
Mathematical Morphology: A Modern Approach in Image Processing Based on Algebra and Geometry, SIAM Review, vol.37, issue.1, pp.1-3, 1995. ,
DOI : 10.1137/1037001
Composing morphological filters, IEEE Transactions on Image Processing, vol.6, issue.5, pp.0-7, 1997. ,
DOI : 10.1109/83.568928
Graph morphology, Journal of Visual Communication and Image Representation, vol.3, issue.1, pp.2-4, 1992. ,
DOI : 10.1016/1047-3203(92)90028-R
The algebraic basis of mathematical morphology. i. dilations and erosions, Comput. Vision Graph. Image Process, 1990. ,
Simultaneous tensor subspace selection and clustering, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, 2008. ,
DOI : 10.1145/1401890.1401933
Adaptive median filters: new algorithms and results, IEEE Transactions on Image Processing, vol.4, issue.4, 1995. ,
DOI : 10.1109/83.370679
Adaptive Bayesian contextual classification based on Markov random fields, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.11, 2002. ,
DOI : 10.1109/TGRS.2002.805087
Modèles Morphologiques de Structures Aléatoires et de Changement d'Echelle, Thèse de doctorat ès sciences physiques, 1991. ,
Multivariate random image models, Acta Stereologica, issue.1, pp.5-9, 1992. ,
Random image models for microstructures analysis and simulation, Scanning Microscopy Supplement, vol.6, pp.1-2, 1992. ,
Synthesis of rough surfaces by random morphological models, Stereol. Iugosl, vol.3, issue.1, pp.2-3, 1981. ,
Unsupervised linear feature-extraction methods and their effects in the classification of high-dimensional data, IEEE Transaction on Geoscience and Remote Sensing, vol.5, issue.4 2, pp.4-6, 2007. ,
Applied Multivariate Statistics Analysis, 2007. ,
Principal Component Analysis.S p r i n g e r -V e r l a g Dimension reduction by local principal component analysis, BIBLIOGRAPHY Kambhatla, N. and Leen, Neural Comp, vol.9, issue.7, pp.1-4, 1986. ,
Spectral unmixing, IEEE Signal Processing Magazine, vol.19, issue.1, pp.44-57, 2002. ,
DOI : 10.1109/79.974727
Adjunctions in pyramids, curve evolution and scalespaces, Int. J. Comput, 2003. ,
Exploiting Calibration-Induced Artifacts in Lossless Compression of Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.8, pp.7-9, 2009. ,
DOI : 10.1109/TGRS.2009.2015291
Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.4-5, 2009. ,
DOI : 10.1137/07070111X
The curse of dimensionality, 5th Online World Conference on Soft Computing in Industrial Applications (WSC5), 2000. ,
Iterations of a non-linear transformation for enhancement of digital images, Pattern Recognition, vol.7, issue.1-2, pp.5-8, 1975. ,
DOI : 10.1016/0031-3203(75)90013-8
Comparison of airborne hyperspectral data and eo-1 hyperion for mineral mapping, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.6, pp.411388-1400, 2003. ,
DOI : 10.1109/TGRS.2003.812908
Hyperspectral image data analysis as a high dimensional signal processing problem. Special issue of the IEEE Signal Processing Magazine, pp.1-7, 2002. ,
Signal Theory Methods in Multispectral Remote Sensing.J o h nW i l e ya n d Sons, 2003. ,
La squelettisation et son application aux mesures topologiques des mosaques polycristallines.P h Dt h e s i s ,E c o, 1978. ,
Geostatistical simulation: Models and algorithms.S p r i n g e r -V e r l a g, 2002. ,
DOI : 10.1007/978-3-662-04808-5
A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1-2, 2000. ,
DOI : 10.1137/S0895479896305696
Learning complete lattices for manifold mathematical morphology, Proc. of the ISMM'09, pp.1-4, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00403941
Mathematical Morphology in Any Color Space, 14th International Conference of Image Analysis and Processing, Workshops (ICIAPW 2007), pp.1-8, 2007. ,
DOI : 10.1109/ICIAPW.2007.33
Semi-supervised hyperspectral image classification based on a Markov random field and sparse multinomial logistic regression, 2009 IEEE International Geoscience and Remote Sensing Symposium, pp.1-4, 2009. ,
DOI : 10.1109/IGARSS.2009.5417892
Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.10, pp.493947-3960, 2011. ,
DOI : 10.1109/TGRS.2011.2128330
Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.3, pp.0-0, 2012. ,
DOI : 10.1109/TGRS.2011.2162649
On a Notion of Data Depth Based on Random Simplices, The Annals of Statistics, vol.18, issue.1, pp.8-12, 1990. ,
DOI : 10.1214/aos/1176347507
Aesthetic order: a philosophy of order, beauty and art.R o u t l e d g es t u d i e si n twentieth century philosophy, 2000. ,
DOI : 10.4324/9780203468944
Vector filtering for color imaging, IEEE Signal Processing Magazine, vol.22, issue.1, pp.7-11, 2005. ,
DOI : 10.1109/MSP.2005.1407717
Unsupervised Classification of Hyperspectral Images on Spherical Manifolds, ICDM, pp.1-3, 2011. ,
DOI : 10.1007/978-3-642-23184-1_11
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms, pp.1-4, 2011. ,
DOI : 10.1007/978-3-642-20841-6_13
A wavelet tour of signal processing, third edition: The sparse way.A c a d e m i c Press, 2008. ,
Hyperspectral image processing for automatic target detection applications, Lincoln Laboratory Journal,1, vol.4, issue.1, pp.7-9, 2003. ,
Hyperspectral subpixel target detection using the linear mixing model, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.7, 2001. ,
DOI : 10.1109/36.934072
Lattice Image Processing: A Unification of Morphological and Fuzzy Algebraic Systems, Journal of Mathematical Imaging and Vision, vol.8, issue.3, pp.2-3, 2005. ,
DOI : 10.1007/s10851-005-4897-z
Anisotropic Diffusion in the Hypercube, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.5, pp.1-3, 2007. ,
DOI : 10.1109/TGRS.2007.894569
Le krigeage universel.E c o l ed e sM i n e sd eP a r i s, 1969. ,
Random Sets and Integral Geometry.J o h nW i l e, 1975. ,
Les Nivel lements, 1997. ,
On hills and dales. The Philosophical magazine, 1870. ,
Classification of hyperspectral remote sensing images with support vector machines, IEEE Transaction on Geoscience and Remote Sensing, issue.8, pp.421778-1790, 2004. ,
The levelings, Proc. of the ISMM'98, 1998. ,
AN OVERVIEW OF MORPHOLOGICAL SEGMENTATION, International Journal of Pattern Recognition and Artificial Intelligence, vol.15, issue.07, p.5, 2001. ,
DOI : 10.1142/S0218001401001337
Levelings and Flat Zone Morphology, 2010 20th International Conference on Pattern Recognition, 2010. ,
DOI : 10.1109/ICPR.2010.388
URL : https://hal.archives-ouvertes.fr/hal-00833526
The steepest watershed: from graphs to images, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00686759
Morphological segmentation, Journal of Visual Communication and Image Representation, vol.1, issue.1, pp.2-3, 1990. ,
DOI : 10.1016/1047-3203(90)90014-M
Contrasts and activity lattice, Signal Processing, vol.16, issue.4, 1989. ,
DOI : 10.1016/0165-1684(89)90028-5
Statistics of the Boolean Models for Practitioners and Mathematicians, 1997. ,
Theory of Random Sets.S p r i n g e r -V e r l a g, 2005. ,
The iDUDE Framework for Grayscale Image Denoising, IEEE Transactions on Image Processing, vol.20, issue.1, pp.0-1, 2011. ,
DOI : 10.1109/TIP.2010.2053939
Lower-Rank Tensor Approximation and Multiway Filtering, SIAM Journal on Matrix Analysis and Applications, vol.30, issue.3, 2008. ,
DOI : 10.1137/060653263
URL : https://hal.archives-ouvertes.fr/hal-00325025
Grey-level hit-or-miss transforms???Part I: Unified theory, Pattern Recognition, vol.40, issue.2, pp.0-6, 2007. ,
DOI : 10.1016/j.patcog.2006.06.004
On the Equivalence Between Hierarchical Segmentations and??Ultrametric Watersheds, Journal of Mathematical Imaging and Vision, vol.113, issue.3, pp.0-2, 2011. ,
DOI : 10.1007/s10851-011-0259-1
URL : https://hal.archives-ouvertes.fr/hal-00419373
Watershed of a continuous function, Signal Processing, vol.38, issue.1, pp.99-112, 1994. ,
DOI : 10.1016/0165-1684(94)90059-0
URL : https://hal.archives-ouvertes.fr/hal-00622129
Mathematical morphology: from theory to applications, 2010. ,
DOI : 10.1002/9781118600788
URL : https://hal.archives-ouvertes.fr/hal-00622479
Dirichlet Gaussian mixture model: Application to image segmentation, Image and Vision Computing, vol.29, issue.12, pp.8-9, 2011. ,
DOI : 10.1016/j.imavis.2011.09.001
MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES, Image Analysis & Stereology, vol.26, issue.3, 2007. ,
DOI : 10.5566/ias.v26.p101-109
URL : https://hal.archives-ouvertes.fr/hal-01220414
Feature-Oriented Image Enhancement Using Shock Filters, SIAM Journal on Numerical Analysis, vol.27, issue.4, pp.9-10, 1990. ,
DOI : 10.1137/0727053
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.9370
Shocks and other nonlinear filtering applied to image processing, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, pp.414-431, 1991. ,
Differential Area Profiles: Decomposition Properties and Efficient Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.8, pp.1533-1548, 2012. ,
DOI : 10.1109/TPAMI.2011.245
URL : http://publications.jrc.ec.europa.eu/repository/handle/JRC59388
Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis, Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, pp.1-1, 2005. ,
Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, pp.2-6, 1990. ,
DOI : 10.1109/34.56205
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.2553
A new approach for the morphological segmentation of high-resolution satellite imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.2, pp.309-320, 2001. ,
DOI : 10.1109/36.905239
Manifold models for signals and images, Computer Vision and Image Understanding, vol.113, issue.2, pp.1-3, 2009. ,
DOI : 10.1016/j.cviu.2008.09.003
Generalised Nonlocal Image Smoothing, International Journal of Computer Vision, vol.9, issue.4, pp.0-6, 2010. ,
DOI : 10.1007/s11263-010-0337-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.7573
Recent advances in techniques for hyperspectral image processing, Remote Sensing of Environment, vol.113, issue.1, pp.1-3, 2009. ,
DOI : 10.1016/j.rse.2007.07.028
URL : https://hal.archives-ouvertes.fr/hal-00178888
A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles, Pattern Recognition, vol.37, issue.6, pp.1097-1116, 2004. ,
DOI : 10.1016/j.patcog.2004.01.006
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty, IEEE Transactions on Image Processing, vol.19, issue.8, 2010. ,
DOI : 10.1109/TIP.2010.2045708
Gaussian Processes in Machine Learning, 2006. ,
DOI : 10.1162/089976602317250933
A new approach to vector median filtering based on space filling curves, IEEE Transactions on Image Processing, vol.6, issue.7, 1997. ,
DOI : 10.1109/83.597277
Improvement of Target Detection Methods by Multiway Filtering, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.8, pp.2-4, 2008. ,
DOI : 10.1109/TGRS.2008.918419
URL : https://hal.archives-ouvertes.fr/hal-00250104
NIR spectrometry for counterfeit drug detection, Analytica Chimica Acta, vol.549, issue.1-2, pp.4-9, 2005. ,
DOI : 10.1016/j.aca.2005.06.018
The watershed transform: Definitions, algorithms and parallelization strategies, Fundamenta Informaticae, 2000. ,
Adaptivity and group invariance in mathematical morphology, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.2253-2256, 2009. ,
DOI : 10.1109/ICIP.2009.5413983
Order-configuration functions: Mathematical characterizations and applications to digital signal and image processing, Information Sciences, vol.50, issue.3, pp.0-2, 1990. ,
DOI : 10.1016/0020-0255(90)90014-2
Why mathematical morphology needs complete lattices, Signal Processing, vol.21, issue.2, pp.129-154, 1990. ,
DOI : 10.1016/0165-1684(90)90046-2
A Lattice-Theoretical Morphological View on Template Extraction in Images, Journal of Visual Communication and Image Representation, vol.7, issue.3, pp.2-7, 1996. ,
DOI : 10.1006/jvci.1996.0024
Flat Morphology on Power Lattices, Journal of Mathematical Imaging and Vision, vol.299, issue.1, pp.185-216, 2006. ,
DOI : 10.1007/s10851-006-8304-1
Image sharpening by morphological filtering, Pattern Recognition, vol.33, issue.6, pp.9-9, 2000. ,
DOI : 10.1016/S0031-3203(99)00160-0
The Volterra and Wiener Theories of Nonlinear Systems, 1980. ,
Nonlinear Component Analysis as a Kernel Eigenvalue Problem, Neural Computation, vol.20, issue.5, 1998. ,
DOI : 10.1007/BF02281970
Hyperspectral imaging: A novel approach for microscopic analysis, Cytometry, vol.24, issue.4, pp.2-3, 2001. ,
DOI : 10.1002/1097-0320(20010401)43:4<239::AID-CYTO1056>3.0.CO;2-Z
Image Analysis and Mathematical Morphology, 1982. ,
Boolean random functions, Journal of Microscopy, vol.2, issue.Suppl 1, pp.5-6, 1989. ,
DOI : 10.1111/j.1365-2818.1989.tb02905.x
Toggle mappings, From Pixels to Features, 1989. ,
The ???False Colour??? Problem, Proc. of the ISMM'09, 2009. ,
DOI : 10.1109/TPAMI.2007.70817
An overview of morphological filtering. Circuits, Systems and Signal Processing, pp.4-7, 1992. ,
Threshold decomposition of gray-scale morphology into binary morphology, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.1, pp.3-4, 1989. ,
DOI : 10.1109/34.23111
Object matching algorithms using robust hausdorff distance measures, IEEE Transaction on Image Processing, vol.8, issue.3, pp.4-6, 1999. ,
On morphological operators based on rank filters, Pattern Recognition, vol.35, issue.2, pp.5-7, 2002. ,
DOI : 10.1016/S0031-3203(01)00047-4
Morphological Image Analysis.S p r i n g e r -V e r l a g, 2003. ,
Constrained connectivity for hierarchical image partitioning and simplification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.7, pp.0-1, 2008. ,
DOI : 10.1109/TPAMI.2007.70817
Preventing Chaining through Transitions While Favouring It within Homogeneous Regions, Mathematical Morphology and Its Applications to Image and Signal Processing, 2011. ,
DOI : 10.1007/978-3-642-21569-8_9
URL : http://publications.jrc.ec.europa.eu/repository/handle/JRC61899
Constrained connectivity and transition regionsB e r l i n ,H e i d e l b e r g, Proc. of the ISMM'09, pp.5-9, 2009. ,
Advances in mathematical morphology applied to geoscience and remote sensing, IEEE Transactions on Geoscience and Remote Sensing, vol.40, issue.9, 2002. ,
DOI : 10.1109/TGRS.2002.804618
A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises, IEEE Signal Processing Letters, vol.14, issue.3, pp.1-8, 2007. ,
DOI : 10.1109/LSP.2006.884018
Hyperspectral Imaging for Food Quality Analysis and Control.A c a d e m i c P r e s s, 2010. ,
Classification of High Dimensional Data with Limited Training samples, 1998. ,
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data, 2006 International Conference on Image Processing, pp.1257-1260, 2006. ,
DOI : 10.1109/ICIP.2006.312573
Kernel regression for image pro cessing and reconstruction, IEEE Transaction on Image Processing, vol.6, issue.1 2, pp.3-4, 2007. ,
DOI : 10.1109/tip.2006.888330
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.423
Multiple spectral-spatial classification approach for hyperspectral data, IEEE Transaction on Geoscience and Remote Sensing, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00578869
Segmentation and classification of hyperspectral images using watershed transform, Pattern Recognition, vol.3, issue.7, pp.2-3, 2010. ,
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, vol.7, issue.4, pp.736-740, 2010. ,
DOI : 10.1109/LGRS.2010.2047711
URL : https://hal.archives-ouvertes.fr/hal-00578864
A Global Geometric Framework for Nonlinear Dimensionality Reduction, Science, vol.290, issue.5500, 2000. ,
DOI : 10.1126/science.290.5500.2319
Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.8-11, 1998. ,
DOI : 10.1109/ICCV.1998.710815
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.2091
Vector directional filters-a new class of multichannel image processing filters, IEEE Transactions on Image Processing, vol.2, issue.4, pp.5-7, 1993. ,
DOI : 10.1109/83.242362
Mathematics and picturing data, Proceeding of the International Congress on Mathematics, p.5, 1975. ,
Pattern recognition using generalized p ortrait metho d. Automation and Remote Control, pp.4-7, 1963. ,
The multivariate L1-median and associated data depth, Proceeding of the Nacional Academy of Sciences,9, pp.1-4, 2000. ,
DOI : 10.1073/pnas.97.4.1423
Morphological scale-space for hyp ersp ectral images and dimensionality exploration using tensor modeling, First IEEE Workshop on Hyperspectral Image and Signal Processing: Emerging Remote Sensing, p.8, 2009. ,
Hit-or-Miss Transform in Multivariate Images, Advanced Concepts for Intelligent Vision Systems,v olume6474ofLecture Notes in Computer Science, pp.452-462, 2010. ,
DOI : 10.1007/978-3-642-17688-3_42
URL : https://hal.archives-ouvertes.fr/hal-00834487
Morphological pro cessing of hyp ersp ectral images using kriging-based supervised ordering, IEEE -International Conference of Image Processing, 2010. ,
Parameters selection of morphological scale-space decomposition for hyperspectral images using tensor modeling, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, p.76951, 2010. ,
DOI : 10.1117/12.850171
URL : https://hal.archives-ouvertes.fr/hal-00834484
Mathematical Morphology for Vector Images Using Statistical Depth, Mathematical Morphology and Its Applications to Image and Signal Processing, 2011. ,
DOI : 10.1007/978-3-642-21569-8_31
URL : https://hal.archives-ouvertes.fr/hal-00658951
Multiclass ordering for filtering and classification of hyperspectral images, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp.1-4, 2011. ,
DOI : 10.1109/WHISPERS.2011.6080922
Sup ervised ordering in R p :A p p l i c a t i o nt om o r p h o l o g i c a l processing of hyperspectral images, IEEE Transaction on Image Processing, 2011. ,
Random pro jection depth for multivariate mathematical morphology, Journal of Selected Topics in Signal Processing, vol.6, issue.7, pp.7-12, 2012. ,
Classification of hyperspectral images by tensor modeling and additive morphological decomposition, Pattern Recognition, vol.46, issue.2, pp.5-6, 2013. ,
DOI : 10.1016/j.patcog.2012.08.011
URL : https://hal.archives-ouvertes.fr/hal-00751338
Improving hyp ersp ectral image classification using spatial preprocessing, IEEE Transaction on Geoscience and Remote Sensing Letters, vol.6, pp.2-9, 2009. ,
DOI : 10.1109/lgrs.2009.2012443
Conditional mathematical morphology for edge enhancement and salt-and-pepper noise reduction, 2012. ,
Modeling textures with total variation minimization and oscillating patterns in image processing, Journal of Scientific Computing, vol.9, issue.1 1, pp.5-5, 2003. ,
Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms, IEEE Transaction on Image Processing, vol.2, pp.1-7, 1993. ,
Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.6, pp.583-598, 1991. ,
DOI : 10.1109/34.87344
A nonlinear laplace operator as edge detector in noisy images, Computer Vision, Graphics, and Image Processing, vol.45, issue.2, pp.1-6, 1989. ,
DOI : 10.1016/0734-189X(89)90131-X
Anisotropic diffusion for hyp ersp ectral imagery enhancement, Sensors Journal, IEEE, vol.0, issue.1 3, pp.4-6, 2010. ,
DOI : 10.1109/jsen.2009.2037800
Progressive switching median filter for the removal of impulse noise from highly corrupted images, IEEE Trans. Circuits and Systems II: Analog and Digital Signal Processing, vol.6, issue.4 1, p.7, 1999. ,
A multivariate Hit-or-Miss transform for conjoint spatial and spectral template matching, Image and Signal Processing e5 0 9 9o fLectures Notes in Computer Science, 2008. ,
Coherence-Enhancing Shock Filters, In Lecture Notes in Computer Science, pp.1-8, 2003. ,
DOI : 10.1007/978-3-540-45243-0_1
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.7357
Theoretical foundations for spatially discrete 1-D shock filtering, Image and Vision Computing, vol.25, issue.4, pp.4-5, 2007. ,
DOI : 10.1016/j.imavis.2006.06.001
Stack filters, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.4, pp.8-9, 1986. ,
DOI : 10.1109/TASSP.1986.1164871
Sparse Representation for Computer Vision and Pattern Recognition, Proceedings of the IEEE, p.8, 2010. ,
DOI : 10.1109/JPROC.2010.2044470
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.5633
Tensor methods for hyperspectral data analysis: a space object material identification study, Journal of the Optical Society of America A, vol.25, issue.12, 2008. ,
DOI : 10.1364/JOSAA.25.003001
A new impulse detector for switching median filters, IEEE Signal Processing Letters, vol.9, issue.1 1, pp.3-6, 2002. ,
A new robust circular Gabor based object matching by using weighted Hausdorff distance, Pattern Recognition Letters, vol.25, issue.4, pp.5-6, 2004. ,
DOI : 10.1016/j.patrec.2003.12.014
Projection-based depth functions and associated medians, The Annals of Statistics, vol.31, issue.5, pp.1460-1490, 2003. ,
DOI : 10.1214/aos/1065705115
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.8671
Multidimensional trimming based on projection depth, The Annals of Statistics, vol.34, issue.5, pp.2211-2251, 2006. ,
DOI : 10.1214/009053606000000713
URL : http://arxiv.org/abs/math/0702655
General notions of statistical depth function, The Annals of Statistics, vol.28, issue.2, pp.461-482, 2000. ,
DOI : 10.1214/aos/1016218226