40 3.3.1 Trois grandes catégories de fonds marins pour l, p.40 ,
52 3.3.3.1 Intégration en classification de mines sous-marines, p.53 ,
Sonar image interpretation for sub-sea operations, p.26, 2015. ,
Seafloor acoustic anisotropy and complexity assessment towards prediction of ATR performance, 1st International Conference and Exhibition on Underwater Acoustics, pp.40-44, 2013. ,
Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.10, pp.40-44 ,
DOI : 10.1109/TGRS.2013.2295843
Reducing false alarms in automated target recognition using local sea-floor characteristics, 2014 Sensor Signal Processing for Defence (SSPD), pp.49-55 ,
DOI : 10.1109/SSPD.2014.6943308
Scale-space theory in computer vision, Science & Business Media, 2013. xi, p.91 ,
DOI : 10.1007/978-1-4757-6465-9
Sedimentology and stratigraphy, p.158, 2009. ,
Fast Target Detection in Synthetic Aperture Sonar Imagery: A New Algorithm and Large-Scale Performance Analysis, IEEE Journal of Oceanic Engineering, vol.40, issue.1, pp.71-92, 2015. ,
DOI : 10.1109/JOE.2013.2294532
The monogenic signal, IEEE Transactions on Signal Processing, vol.49, issue.12, pp.231-235 ,
DOI : 10.1109/78.969520
Underwater electro-optical system for mine identification, SPIE's, 1995. ,
Electro-optic identification research program, Oceans '02 MTS/IEEE ,
DOI : 10.1109/OCEANS.2002.1192104
Underwater acoustic system analysis, 1991. ,
Principles of underwater sound for engineers. McGraw-Hill Education, p.11, 1967. ,
Traitements des signaux pour les systèmes sonar. Collection technique et scientifique des télécommunications, 1992. ,
An introduction to underwater acoustics : principles and applications, p.18, 2002. ,
The handbook of sidescan sonar, p.18, 2010. ,
DOI : 10.1007/978-3-540-49886-5
Adaptive segmentation of speckled images using a hierarchical random field model, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.36, issue.10 ,
DOI : 10.1109/29.7551
Speckle in laser imagery: efficient methods of quantification and minimization, 1999 IEEE LEOS Annual Meeting Conference Proceedings. LEOS'99. 12th Annual Meeting. IEEE Lasers and Electro-Optics Society 1999 Annual Meeting (Cat. No.99CH37009) ,
DOI : 10.1109/LEOS.1999.813629
Some fundamental properties of speckle*, Journal of the Optical Society of America, vol.66, issue.11, pp.1145-1150, 1976. ,
DOI : 10.1364/JOSA.66.001145
Optical coherence tomography - principles and applications, Reports on Progress in Physics, vol.66, issue.2, pp.239-259, 2003. ,
DOI : 10.1088/0034-4885/66/2/204
Analysis of speckle noise contribution on wavelet decomposition of SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.36, issue.6 ,
DOI : 10.1109/36.729367
Scattering-modelbased speckle filtering of polarimetric SAR data, IEEE Transactions on Geoscience and Remote Sensing, vol.4, issue.1 ,
Improved sigma filter for speckle filtering of SAR imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.7, issue.1 ,
<title>Speckle filtering of SAR images: a comparative study between complex-wavelet-based and standard filters</title>, Wavelet Applications in Signal and Image Processing V, pp.80-91, 1997. ,
DOI : 10.1117/12.279681
Novel Bayesian multiscale method for speckle removal in medical ultrasound images, IEEE Transactions on Medical Imaging, vol.20, issue.8, pp.772-783, 2001. ,
DOI : 10.1109/42.938245
Despeckling of medical ultrasound images, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.53, issue.1, pp.64-78, 2006. ,
DOI : 10.1109/TUFFC.2006.1588392
Ultrasound image segmentation: a survey, IEEE Transactions on Medical Imaging, vol.25, issue.8 ,
DOI : 10.1109/TMI.2006.877092
URL : https://hal.archives-ouvertes.fr/hal-00338658
A versatile wavelet domain noise filtration technique for medical imaging, IEEE Transactions on Medical Imaging, vol.22, issue.3, pp.323-331, 2003. ,
DOI : 10.1109/TMI.2003.809588
An adaptive weighted median filter for speckle suppression in medical ultrasonic images, IEEE Transactions on Circuits and Systems, vol.36, issue.1, pp.129-135, 1989. ,
DOI : 10.1109/31.16577
Scalar image processing filters for speckle reduction on synthetic aperture sonar images, Oceans '02 MTS/IEEE, pp.2294-2301, 2002. ,
DOI : 10.1109/OCEANS.2002.1191987
URL : https://hal.archives-ouvertes.fr/hal-00086802
Use of classification and segmentation of sidescan sonar images for long term registration, Europe Oceans 2005, pp.322-327, 2005. ,
DOI : 10.1109/OCEANSE.2005.1511734
URL : https://hal.archives-ouvertes.fr/hal-00518736
Comparison of filters used for underwater image pre-processing, IJCSNS, vol.11, issue.0, pp.5-8 ,
Statistical characterization of high-frequency shallowwater seafloor backscatter, The Journal of the Acoustical Society of America, issue.6 3, pp.1307-1315, 1999. ,
Anomalous phenomena in sound propagation near the sea floor: A review, Acoustical Physics, vol.48, issue.4 ,
DOI : 10.1134/1.1494015
Tests of models for high-frequency seafloor backscatter, IEEE Journal of Oceanic Engineering, vol.21, issue.4, pp.458-470, 1996. ,
DOI : 10.1109/48.544057
When is speckle noise multiplicative?, Applied Optics, vol.21, issue.7 ,
DOI : 10.1364/AO.21.001157
High-frequency acoustic modeling Conference on Oceans Engineering for Today's Technology and Tomorrow's Preservation, Proceedings of the IEEE ,
Analyse de descripteurs énergétiques et statistiques de signaux sonar pour la caractérisation des fonds marins, p.24, 2004. ,
Handbook of pattern recognition and computer vision, World Scientific, p.24, 2015. ,
Automatic target detector, US Patent, vol.4, pp.30096-30130, 1977. ,
<title>Adaptive filter for mine detection and classification in side-scan sonar imagery</title>, Detection Technologies for Mines and Minelike Targets, pp.475-486, 1995. ,
DOI : 10.1117/12.211345
Sea mine detection and classification using side-looking sonar, SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics International Society for Optics and Photonics, pp.442-453, 1995. ,
Automated detection and classification of sea mines in sonar imagery, AeroSense'97, pp.90-110, 1997. ,
Side Scan Sonar Object Classification Algorithms, Proceedings of the 6th International Symposium on Unmanned Untethered Submersible Technology,, pp.4-5, 1989. ,
DOI : 10.1109/UUST.1989.754734
Markov random-field-based anomaly screening algorithm, SPIE's, 1995. ,
Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor, Computer Vision and Image Understanding, vol.79, issue.1, pp.4-6 ,
DOI : 10.1006/cviu.2000.0844
Three-Class Markovian Segmentation of High-Resolution Sonar Images, Computer Vision and Image Understanding, vol.76, issue.3, pp.191-204, 1999. ,
DOI : 10.1006/cviu.1999.0804
Statistical model and genetic optimization: application to pattern detection in sonar images, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), pp.2-7, 1998. ,
DOI : 10.1109/ICASSP.1998.678090
Unsupervised Markovian segmentation of sonar images, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing ,
DOI : 10.1109/ICASSP.1997.595366
An automatic approach to the detection and extraction of mine features in sidescan sonar, IEEE Journal of Oceanic Engineering, vol.28, issue.1, pp.90-105, 2003. ,
DOI : 10.1109/JOE.2002.808199
Target recognition in synthetic aperture and high resolution sidescan sonar, IET Seminar on High Resolution Imaging and Target Classification, pp.99-106, 2006. ,
DOI : 10.1049/ic:20060079
Automated approach to classification of mine-like objects in sidescan sonar using highlight and shadow information, IEE Proceedings- Radar, Sonar and Navigation, pp.4-8 ,
DOI : 10.1049/ip-rsn:20040117
Fast approximate energy minimization via graph cuts, IEEE Transactions, vol.31, issue.1, pp.1222-1239, 2001. ,
Spatial stochastic models for seabed object detection, AeroSense'97 International Society for Optics and Photonics, pp.172-182, 1997. ,
Bayesian approach to object detection in sidescan sonar, IEE Proceedings-Vision, Image and Signal Processing, pp.221-228, 1998. ,
Automated segmentation of SAS images using the mean - standard deviation plane for the detection of underwater mines, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492) ,
DOI : 10.1109/OCEANS.2003.178236
Mean–Standard Deviation Representation of Sonar Images for Echo Detection: Application to SAS Images, IEEE Journal of Oceanic Engineering, vol.32, issue.4 ,
DOI : 10.1109/JOE.2007.907936
Texture analysis of sidescan sonar data, " in Texture analysis in radar and sonar, IEE Seminar on IET, pp.2-3, 1993. ,
Simulation and analysis of synthetic sidescan sonar images IEE Proceedings-radar, sonar and navigation ,
Object detection at different resolution in archaeological side-scan sonar images, Europe Oceans 2005 ,
DOI : 10.1109/OCEANSE.2005.1511727
Canonical correlation analysis for coherent change detection in synthetic aperture sonar imagery, Institute of Acoustics Proceedings, pp.117-122, 2010. ,
Visual pattern recognition by moment invariants IRE transactions on information theory ,
Image analysis via the general theory of moments*, Journal of the Optical Society of America, vol.70, issue.8, pp.920-930, 1980. ,
DOI : 10.1364/JOSA.70.000920
Identification and inspection of 2-D objects using new moment-based shape descriptors, Pattern Recognition Letters, vol.16, issue.7 ,
DOI : 10.1016/0167-8655(95)00021-8
Sonar automatic target recognition for underwater UXO remediation, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ,
DOI : 10.1109/CVPRW.2015.7301307
Superellipse Fitting for the Recovery and Classification of Mine-Like Shapes in Sidescan Sonar Images, IEEE Journal of Oceanic Engineering, vol.33, issue.4, pp.434-444, 2008. ,
DOI : 10.1109/JOE.2008.2002962
Efficient superellipse fitting based contour extraction for mine-like shape recognition, Proceedings of the 2st international conference and exhibition on Underwater Acoustics (UA2014) ,
Mine classification using a hybrid set of descriptors, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158), pp.2-9, 2000. ,
DOI : 10.1109/OCEANS.2000.881275
URL : https://hal.archives-ouvertes.fr/hal-00504822
Classification of underwater objects using Fourier descriptors, 7th International Conference on Image Processing and its Applications, pp.240-244, 1999. ,
DOI : 10.1049/cp:19990319
Optimal Feature Set for Automatic Detection and Classification of Underwater Objects in SAS Images, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.3, pp.4-5 ,
DOI : 10.1109/JSTSP.2010.2093868
Mine classification based on raw sonar data: an approach combining Fourier descriptors, statistical models and genetic algorithms, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158), pp.2-8, 2000. ,
DOI : 10.1109/OCEANS.2000.881274
URL : https://hal.archives-ouvertes.fr/hal-00504817
In Situ Adaptive Feature Extraction for Underwater Target Classification, 36th Applied Imagery Pattern Recognition Workshop (aipr 2007), pp.42-47, 2007. ,
DOI : 10.1109/AIPR.2007.22
Supervised target detection and classification by training on augmented reality data, IET Radar, Sonar & Navigation, vol.1, issue.1 ,
DOI : 10.1049/iet-rsn:20060098
Adaptive fusion framework based on augmented reality training, IET Radar, Sonar & Navigation, vol.2, issue.2, pp.146-154, 2008. ,
DOI : 10.1049/iet-rsn:20070136
The fusion of large scale classified side-scan sonar image mosaics, IEEE Transactions on Image Processing, vol.15, issue.7, pp.2-2, 2006. ,
DOI : 10.1109/TIP.2006.873448
Underwater mine detection using symbolic pattern analysis of sidescan sonar images, 2009 American Control Conference, 2009. ,
DOI : 10.1109/ACC.2009.5160102
Correntropy based matched filtering for classification in sidescan sonar imagery, 2009 IEEE International Conference on Systems, Man and Cybernetics, p.39, 0757. ,
DOI : 10.1109/ICSMC.2009.5346575
Model-based sea mine classification with synthetic aperture sonar IET radar, sonar & navigation, pp.6-8, 2010. ,
Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.11, p.173, 2015. ,
DOI : 10.1109/TGRS.2015.2431322
Quantifying the complexity in sonar image for mcm performance estimation, Proc. 2nd International Conference and Exhibition on Underwater Acoustics, p.49 ,
Unsupervised seafloor classification for automatic target recognition, International Conference on Detection and Classification of Underwater TargetsBrest), pp.40-47, 2012. ,
Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering, 2009 16th IEEE International Conference on Image Processing (ICIP) ,
DOI : 10.1109/ICIP.2009.5413910
Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, Journal of the Optical Society of America A, vol.2, issue.7, pp.1160-1169, 1985. ,
DOI : 10.1364/JOSAA.2.001160
Surf : Speeded up robust features, European conference on computer vision, pp.404-417, 2006. ,
Robust real-time face detection, International journal of computer vision, vol.7, issue.2 ,
Efficient pre-segmentation algorithm for sidescan-sonar images, Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on ,
On adaptive underwater object detection, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011. ,
DOI : 10.1109/IROS.2011.6094621
Stream processing for fast and efficient rotated Haar-like features using rotated integral images, Australian Conference on Robotics and Automation, pp.1-6 ,
DOI : 10.1504/IJISTA.2009.025105
Toward an efficient implementation of a rotation invariant detector using haar-like features, Proceedings of the IVCNZ'05, pp.31-36, 2005. ,
Hidden markov tree modeling of complex wavelet transforms, Acoustics, Speech, and Signal Processing, 2000. ,
The dual-tree complex wavelet transform, IEEE Signal Processing Magazine, vol.22, issue.6, p.51 ,
DOI : 10.1109/MSP.2005.1550194
A theory for multiresolution signal decomposition : the wavelet representation, IEEE transactions on pattern analysis and machine intelligence, vol.17, issue.1, pp.674-693, 1989. ,
Multiscale classification using complex wavelets and hidden Markov tree models, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000. ,
DOI : 10.1109/ICIP.2000.899396
Complex wavelet transform in signal and image analysis, Institute of Chemical Technology, Department of Computing and Control Engineering, vol.50, p.51, 2004. ,
Image processing with complex wavelets, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.357, issue.1760, pp.2543-2560, 1999. ,
DOI : 10.1098/rsta.1999.0447
Theory of communication Journal of the Institution of Electrical Engineers -P a r tI I I:R a d i oa n dC o m m u n i c a t i o nE n g i n e e r i n g, pp.4-6 ,
Théorie et applications de la notion de signal analytique Cables et transmission, pp.6-7 ,
The Elementary Theory of Cauchy's Principal Values, Proceedings of the London Mathematical Society, vol.1, issue.1 ,
DOI : 10.1112/plms/s1-34.1.16
Fourier domain design of line and edge detectors, The 5th International Conference on Pattern Recognition ,
Signal Processing for Computer Vision, p.70, 1995. ,
DOI : 10.1007/978-1-4757-2377-9
An extension of the Hilbert transform product theorem, Proceedings of the IEEE, p.228 ,
DOI : 10.1109/PROC.1971.8420
Multidimensional complex signals with single-orthant spectra, Proceedings of the IEEE, p.229 ,
DOI : 10.1109/5.158601
Hilbert Transforms in Signal Processing Artech House signal processing library, Artech House, p.227, 1996. ,
Hypercomplex spectral signal representations for the processing and analysis of images, p.230, 1999. ,
The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space, Journal of Mathematical Imaging and Vision, vol.21, issue.1, pp.5-26, 2004. ,
DOI : 10.1023/B:JMIV.0000026554.79537.35
Geometric algebra for computer science, ACM SIGACT News, vol.39, issue.4, p.72, 2009. ,
DOI : 10.1145/1466390.1466396
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters, European Conference on Computer Vision, pp.9-12, 2002. ,
DOI : 10.1007/3-540-47969-4_25
Low-level Image Processing with the Structure Multivector, Inst. für Informatik und Praktische Mathematik, pp.73-99, 2002. ,
Sur les fonctions conjugu??es, Mathematische Zeitschrift, vol.7, issue.1, pp.218-244, 1928. ,
DOI : 10.1007/978-3-642-37535-4_29
Introduction to Fourier analysis on Euclidean spaces, p.73, 1971. ,
Multiresolution Monogenic Signal Analysis Using the Riesz–Laplace Wavelet Transform, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2402-2418, 2009. ,
DOI : 10.1109/TIP.2009.2027628
Ondelettes analytiques et monogènes pour la représentation des images couleur, p.76, 2012. ,
Linear scale-space has first been proposed in japan, Journal of Mathematical Imaging and Vision, vol.13, issue.0 ,
Basic theory of pattern observation Papers of Technical Group on Automata and Automatic Control, IECE, december 1959, p.90 ,
Scale-space filtering: A new approach to multi-scale description, ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.150-153, 1984. ,
DOI : 10.1109/ICASSP.1984.1172729
Scale-space theory in computer vision, p.84, 2013. ,
DOI : 10.1007/978-1-4757-6465-9
Scale-space theory: a basic tool for analyzing structures at different scales, Journal of Applied Statistics, vol.21, issue.1 ,
DOI : 10.1080/757582976
Detecting salient blob-like image structures and their scales with a scalespace primal sketch : A method for focus-of-attention, International Journal of Computer Vision, vol.13, issue.1, pp.2-8 ,
The structure of images, Biological Cybernetics, vol.27, issue.269, pp.363-370, 1984. ,
DOI : 10.1007/BF00336961
The heat equation Object recognition from local scale-invariant features, The Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.85-86, 1976. ,
About Heisenberg uncertainty relation Proceedings of The Prussian Academy of Sciences Physics-Mathematical Section ,
Uniqueness of the Gaussian Kernel for Scale-Space Filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, issue.1, pp.26-33, 1986. ,
DOI : 10.1109/TPAMI.1986.4767749
On the Axioms of Scale Space Theory, Journal of Mathematical Imaging and Vision, vol.20, issue.3, pp.2-6, 2004. ,
DOI : 10.1023/B:JMIV.0000024043.96722.aa
A multiresolution spline with application to image mosaics, ACM Transactions on Graphics, vol.2, issue.4 ,
DOI : 10.1145/245.247
A Representation for Shape Based on Peaks and Ridges in the Difference of Low-Pass Transform, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.2 ,
DOI : 10.1109/TPAMI.1984.4767500
Theory of Edge Detection, Proceedings of the Royal Society B: Biological Sciences, vol.207, issue.1167 ,
DOI : 10.1098/rspb.1980.0020
A review of the MTF concept in room acoustics and its use for estimating speech intelligibility in auditoria, The Journal of the Acoustical Society of America, vol.77, issue.3 ,
DOI : 10.1121/1.392224
Naval Mine Warfare : Operational and Technical Challenges for Naval Forces, p.217, 2001. ,
Asymmetric power distribution model of wavelet subbands for texture classification, Pattern Recognition Letters, vol.52, pp.1-8, 2015. ,
DOI : 10.1016/j.patrec.2014.08.004
URL : https://hal.archives-ouvertes.fr/hal-01090055
Bayesian texture classification using steerable Riesz wavelets: Application to sonar images, OCEANS 2015, MTS/IEEE Washington, pp.1-6 ,
DOI : 10.23919/OCEANS.2015.7401860
Statistical and structural approaches to texture, Proceedings of the IEEE ,
DOI : 10.1109/PROC.1979.11328
Filtering for texture classification: a comparative study, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.4, pp.2-9, 1999. ,
DOI : 10.1109/34.761261
Performance evaluation for four classes of textural features, Pattern Recognition, vol.25, issue.8 ,
DOI : 10.1016/0031-3203(92)90036-I
Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier, IEEE Transactions on Geoscience and Remote Sensing, vol.33, issue.3, pp.616-626, 1995. ,
DOI : 10.1109/36.387577
Comparison and fusion of multiresolution features for texture classification, Pattern Recognition Letters, vol.26, issue.5 ,
DOI : 10.1016/j.patrec.2004.09.013
Texture classification and segmentation using wavelet frames, IEEE Transactions on Image Processing, vol.4, issue.11 ,
DOI : 10.1109/83.469936
Seabed Segmentation Using Optimized Statistics of Sonar Textures, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.6 ,
DOI : 10.1109/TGRS.2008.2006362
Sidescan sonar imagery segmentation with a combination of texture and spectral analysis, 2013 MTS/IEEE OCEANS, Bergen, pp.1-6, 2013. ,
DOI : 10.1109/OCEANS-Bergen.2013.6608096
URL : https://hal.archives-ouvertes.fr/hal-00913657
Intrinsic dimensionality extraction, in : Classification, pattern recognition and reduction of dimensionality, of Handbook of Statistics ,
Maximum likelihood estimation of intrinsic dimension, Advances in neural information processing systems, 0777. ,
An evaluation of intrinsic dimensionality estimators, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.1, pp.81-86, 1995. ,
DOI : 10.1109/34.368147
15 intrinsic dimensionality extraction Handbook of Statistics, pp.347-360, 1982. ,
Fundamental limits of linear filters in the visual processing of two-dimensional signals, Vision Research, vol.30, issue.7, p.122 ,
DOI : 10.1016/0042-6989(90)90120-A
Nonlinear image operators for the evaluation of local intrinsic dimensionality, IEEE Transactions on Image Processing, vol.5, issue.6, p.122, 1996. ,
DOI : 10.1109/83.503917
Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics, Spatial Vision, vol.13, issue.2 ,
DOI : 10.1163/156856800741216
Higher-order statistics of natural images and their exploitation by operators selective to intrinsic dimensionality, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, pp.147-151, 1997. ,
DOI : 10.1109/HOST.1997.613505
Image Preprocessing for Feature Extraction in Digital Intensity, Color and Range Images, Geomatic Method for the Analysis of Data in the Earth Sciences, pp.165-189, 2000. ,
DOI : 10.1007/3-540-45597-3_4
A continuous Formulation of intrinsic Dimension, Procedings of the British Machine Vision Conference 2003, p.127, 2003. ,
DOI : 10.5244/C.17.27
A Probabilistic Definition of Intrinsic Dimensionality for Images, Joint Pattern Recognition Symposium, pp.140-147, 2003. ,
DOI : 10.1007/978-3-540-45243-0_19
Optimal orientation detection of linear symmetry, p.127, 1987. ,
A fast operator for detection and precise location of distinct points, corners and centres of circular features, Proc. ISPRS intercommission conference on fast processing of photogrammetric data ,
Fast and accurate motion estimation using orientation tensors and parametric motion models, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000. ,
DOI : 10.1109/ICPR.2000.905291
Constraints Within ORASSYLL, Neural Computation, vol.14, issue.6 ,
DOI : 10.1162/jocn.1991.3.1.59
Potential of the intrinsic dimensionality for characterizing the seabed in the ATR context, OCEANS 2015, Genova, pp.1-7, 2015. ,
DOI : 10.1109/OCEANS-Genova.2015.7271462
URL : https://hal.archives-ouvertes.fr/hal-01155719
Stork, Pattern classification, p.192, 2012. ,
On Grouping for Maximum Homogeneity, Journal of the American Statistical Association, vol.40, issue.284 ,
DOI : 10.1080/01621459.1945.10500739
Image Quantization Using Reaction-Diffusion Equations, SIAM Journal on Applied Mathematics, vol.57, issue.1 ,
DOI : 10.1137/S0036139994277580
A relative entropy-based approach to image thresholding, Pattern Recognition, vol.27, issue.9 ,
DOI : 10.1016/0031-3203(94)90011-6
A hierarchical approach to color image segmentation using homogeneity, IEEE Transactions on Image Processing, vol.9, issue.2, p.192, 2000. ,
A new method for gray-level picture thresholding using the entropy of the histogram Computer vision, graphics, and image processing ,
A Nonparametric Approach for Histogram Segmentation, IEEE Transactions on Image Processing, vol.16, issue.1, pp.253-261, 2007. ,
DOI : 10.1109/TIP.2006.884951
Auv-enabled adaptive underwater surveying for optimal data collection Intelligent Service Robotics, pp.3-3 ,
Radar CFAR Thresholding in Clutter and Multiple Target Situations, IEEE Transactions on Aerospace and Electronic Systems, vol.19, issue.4 ,
DOI : 10.1109/TAES.1983.309350
Fundamentals of Radar Signal Processing, p.212, 2005. ,
Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case, IEEE Transactions on Signal Processing, vol.49, issue.11, pp.2844-2852, 2001. ,
DOI : 10.1109/78.960432
Hypercomplex numbers : an elementary introduction to algebras, p.230, 1989. ,
Geometric Algebra with Applications in Engineering,v o l .4o fGeometry and Computing, p.233, 2009. ,
Clifford algebras and spinors lecture note series, p.237, 2001. ,