Kacem Chehdi - RankMe

89 papers B 7C 16Misc 7Journal 32Unranked 27

Year	Rank	Type	Title / Venue / Authors
2023	C	`conf`	Blind Hyperspectral Image Restoration. IGARSS Fabio El Samrani, Kacem Chehdi
2023	C	`conf`	Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means. IGARSS Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel
2023	C	`conf`	Partitioning of Hyperspectral Images in Main Categories and Fine Classes. IGARSS Jihan Alameddine, Kacem Chehdi, Claude Cariou
2022	J	`jnl`	A Novel Mean-Shift Algorithm for Data Clustering. IEEE Access Claude Cariou, Steven Le Moan, Kacem Chehdi
2022	C	`conf`	Data Stream Unsupervised Partitioning Method. IGARSS Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel
2022	J	`jnl`	Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2022	C	`conf`	Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data. IGARSS Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2022	C	`conf`	Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. IGARSS Viktor O. Makarichev, Galina Proskura, Oleksii S. Rubel, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2022	C	`conf`	Unsupervised and Automatic Training Samples Selection Method. IGARSS Jihan Alameddine, Kacem Chehdi, Claude Cariou
2021	J	`jnl`	Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images. Remote. Sens. Jihan Alameddine, Kacem Chehdi, Claude Cariou
2021	J	`jnl`	Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Sergey K. Abramov, Kacem Chehdi
2021	C	`conf`	Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. IGARSS Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2020	J	`jnl`	Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2020	J	`jnl`	Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2020	Misc	`conf`	Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images. ICASSP Claude Cariou, Kacem Chehdi, Steven Le Moan
2020	J	`jnl`	Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images. Remote. Sens. Claude Cariou, Steven Le Moan, Kacem Chehdi
2020	J	`jnl`	Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2019	J	`jnl`	Enhancement of Component Images of Multispectral Data by Denoising with Reference. Remote. Sens. Sergey K. Abramov, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2018	C	`conf`	Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. IGARSS Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2018	J	`jnl`	Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model. CoRR Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2018	C	`conf`	Hyperspectral Image Restoration Based on Salient Edges. IGARSS Mo Zhang, Benoît Vozel, Kacem Chehdi, Mykhail L. Uss, Sergey K. Abramov, Vladimir V. Lukin
2018	B	`conf`	NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. ACIVS Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2018	J	`jnl`	Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Alexander N. Zemliachenko, Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2016	C	`conf`	A new k-nearest neighbor density-based clustering method and its application to hyperspectral images. IGARSS Claude Cariou, Kacem Chehdi
2016	—	`conf`	Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. EUVIP Vladimir V. Lukin, Alexander N. Zemliachenko, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi
2016	J	`jnl`	Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2016	C	`conf`	Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. IGARSS Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2016	J	`jnl`	Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2016	J	`jnl`	Multimodal Remote Sensing Image Registration with Accuracy Estimation at Local and Global Scales. CoRR Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2016	J	`jnl`	Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra. Int. J. Appl. Earth Obs. Geoinformation Emmanuelle Vaudour, Jean-Marc Gilliot, Liliane Bel, Josias Lefevre, Kacem Chehdi
2015	C	`conf`	Compression ratio prediction in lossy compression of noisy images. IGARSS Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2015	J	`jnl`	Efficient Rotation-Scaling-Translation Parameters Estimation in Multimodal Settings Based on Fractal Image Model. CoRR Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2015	J	`jnl`	Image database TID2013: Peculiarities, results and perspectives. Signal Process. Image Commun. Nikolay N. Ponomarenko, Lina Jin, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo
2015	C	`conf`	On noise properties in hyperspectral images. IGARSS Sergey K. Abramov, Mykhail L. Uss, Victoriya V. Abramova, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2015	J	`jnl`	Stable and unsupervised fuzzy C-means method and its validation in the context of multicomponent images. J. Electronic Imaging Kacem Chehdi, Akar Taher, Claude Cariou
2015	J	`jnl`	Unsupervised Nearest Neighbors Clustering With Application to Hyperspectral Images. IEEE J. Sel. Top. Signal Process. Claude Cariou, Kacem Chehdi
2014	J	`jnl`	A Precise Lower Bound on Image Subpixel Registration Accuracy. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vitaliy A. Dushepa, Vladimir A. Komjak, Kacem Chehdi
2014	C	`conf`	An Unsupervised Nonparametric and Cooperative Approach for Classification of Multicomponent Image Contents. ICPRAM Akar Taher, Kacem Chehdi, Claude Cariou
2014	—	`conf`	Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. EUVIP Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian, Jaakko Astola
2013	B	`conf`	A New Color Image Database TID2013: Innovations and Results. ACIVS Nikolay N. Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Lina Jin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo
2013	—	`conf`	Blind estimation of signal-dependent noise parameters for color image database. EUVIP Sergey K. Abramov, Victoriya Abramova, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2013	—	`conf`	Color image database TID2013: Peculiarities and preliminary results. EUVIP Nikolay N. Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian, Lina Jin, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo
2013	J	`jnl`	Image informative maps for component-wise estimating parameters of signal-dependent noise. J. Electronic Imaging Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2011	J	`jnl`	BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing. IEEE Geosci. Remote. Sens. Lett. Claude Cariou, Kacem Chehdi, Steven Le Moan
2011	—	`conf`	Blind estimation of mixed noise parameters in images using robust regression curve fitting. EUSIPCO Victoria Zabrodina, Sergey K. Abramov, Vladimir V. Lukin, Jaakko Astola, Benoît Vozel, Kacem Chehdi
2011	J	`jnl`	Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. EURASIP J. Adv. Signal Process. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Sergey K. Abramov, Igor Baryshev, Kacem Chehdi
2011	Misc	`conf`	Image noise-informative map for noise standard deviation estimation. ICASSP Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Igor Baryshev, Kacem Chehdi
2011	J	`jnl`	Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. IEEE J. Sel. Top. Signal Process. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2010	C	`conf`	Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. ISCAS Sergey K. Abramov, Victoriya Zabrodina, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Jaakko Astola
2009	J	`jnl`	Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means. IET Image Process. Mohamad M. Awad, Kacem Chehdi, Ahmad H. Nasri
2009	J	`jnl`	Satellite image segmentation using hybrid variable genetic algorithm. Int. J. Imaging Syst. Technol. Mohamad M. Awad, Kacem Chehdi
2008	J	`jnl`	Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information. IEEE Trans. Geosci. Remote. Sens. Claude Cariou, Kacem Chehdi
2008	Misc	`conf`	Fully automated mosaicking of pushbroom aerial imagery. ICASSP Claude Cariou, Kacem Chehdi
2008	B	`conf`	Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images. ACIVS Pejman Rahmani, Benoît Vozel, Kacem Chehdi
2008	J	`jnl`	Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm. Pattern Recognit. Lett. Claude Cariou, Kacem Chehdi
2007	—	`conf`	Adaptive and Cooperative Segmentation System for Mono- and Multi-Component Images. SIGMAP Madjid Moghrani, Claude Cariou, Kacem Chehdi
2007	—	`conf`	Image Restoration - A New Explicit Approach in Filtering and Restoration of Digital Images. SIGMAP Pejman Rahmani, Benoît Vozel, Kacem Chehdi
2007	—	`conf`	Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. ICASSP (1) Mikhail L. Uss, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi
2007	J	`jnl`	Multicomponent Image Segmentation Using a Genetic Algorithm and Artificial Neural Network. IEEE Geosci. Remote. Sens. Lett. Mohamad M. Awad, Kacem Chehdi, Ahmad H. Nasri
2007	—	`conf`	Non Parametric Stochastic Expectation Maximization for Data Clustering. ICETE (Selected Papers) Gilles Bougenière, Claude Cariou, Kacem Chehdi, Alan Gay
2007	—	`conf`	Unsupervised Non Parametric Data Clustering by Means of Bayesian Inference and Information Theory. SIGMAP Gilles Bougenière, Claude Cariou, Kacem Chehdi, Alan Gay
2006	B	`conf`	Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. ACIVS Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi
2006	—	`conf`	Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. ICASSP (2) Benoît Vozel, Kacem Chehdi, Luc Klaine, Vladimir V. Lukin, Sergey K. Abramov
2006	—	`conf`	Processing Multichannel Radar Images by Modified Vector Sigma Fukter FIR Edge Detectuib Ebgabcement. ICASSP (2) Vladimir V. Lukin, Oleg V. Tsymbal, Benoît Vozel, Kacem Chehdi
2006	—	`conf`	Semi-Rigid Registration of Remote Sensing Airborne Scanner Images. ICASSP (2) Claude Cariou, Kacem Chehdi
2005	—	`conf`	An integro-differential method for adaptive filtering of additive or multiplicative noise. ICASSP (2) Luc Klaine, Benoît Vozel, Kacem Chehdi
2005	—	`conf`	Gravitational Transform for Data Clustering - Application to Multicomponent Image Classification. ICASSP (2) Claude Cariou, Kacem Chehdi, Arnault Nagle
2005	—	`conf`	Unsupervised variational classification through image multi-thresholding. EUSIPCO Luc Klaine, Benoît Vozel, Kacem Chehdi
2005	—	`conf`	Varational method using the Kuan filtering approach for the restoration of blurred images with multiplicative noise. ISSPA Luc Klaine, Benoît Vozel, Kacem Chehdi
2003	—	`conf`	Adaptive filtering of multiplicative noise by a new differential method. ISSPA (1) Luc Klaine, Benoît Vozel, Kacem Chehdi
2003	J	`jnl`	Toward a complete adaptive analysis of an image. J. Electronic Imaging Christophe Rosenberger, Kacem Chehdi
2002	—	`conf`	Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises. EUSIPCO Marie-Paule Carton-Vandecandelaere, Benoît Vozel, Luc Klaine, Kacem Chehdi
2002	J	`jnl`	Automatic image segmentation system through iterative edge - region co-operation. Image Vis. Comput. Chafik Kermad, Kacem Chehdi
2002	—	`conf`	Segmentation of fractal objects: Application to the measure of algae deposit density in the 'green tide' phenomenon. EUSIPCO Claude Cariou, Kacem Chehdi
2000	B	`conf`	A Blind Restoration System of Blurred and Noisy Numerical Images. ICIP Benoît Vozel, Kacem Chehdi, Marie-Paule Carton-Vandecandelaere
2000	—	`conf`	Blind identification of degradations using ascendant hierarchical classification. EUSIPCO Kacem Chehdi, Benoît Vozel, Marie-Paule Carton-Vandecandelaere, Nathalie Berric
2000	Misc	`conf`	Genetic fusion: application to multi-components image segmentation. ICASSP Christophe Rosenberger, Kacem Chehdi
2000	B	`conf`	Multi-Bands Image Segmentation: A Scalar Approach. ICIP Chafik Kermad, Kacem Chehdi
2000	—	`conf`	Rotation invariant texture analysis: A comparative study. EUSIPCO Christophe Rosenberger, Claude Cariou, Kacem Chehdi
2000	B	`conf`	Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation. ICPR Christophe Rosenberger, Kacem Chehdi
1999	Misc	`conf`	A comparative study between parametric blur estimation methods. ICASSP Sophie Chardon, Benoît Vozel, Kacem Chehdi
1999	J	`jnl`	Parametric Blur Estimation Using the Generalized Cross-Validation Criterion and a Smoothness Constraint on the Image. Multidimens. Syst. Signal Process. Sophie Chardon, Benoît Vozel, Kacem Chehdi
1999	Misc	`conf`	Texture analysis of an image by using a rotation-invariant model. ICASSP Christophe Rosenberger, Kacem Chehdi, Claude Cariou, Jean-Marc Ogier
1998	—	`conf`	Recognition of rotated and scaled textures using 2-D AR modeling and the Fourier-Mellin transform. EUSIPCO Claude Cariou, Olivier Alata, Christophe Rosenberger, Jean-Marc Ogier, Kacem Chehdi
1997	Misc	`conf`	Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms. ICASSP Lionel Beaurepaire, Kacem Chehdi, Benoît Vozel
1996	—	`conf`	Identification d'images dégradées par un bruit additif ou multiplicatif. EUSIPCO Lionel Beaurepaire, Kacem Chehdi
1996	—	`conf`	Unsupervised texture segmentation using 2-D AR modeling and a stochastic version of the EM procedure. EUSIPCO Claude Cariou, Kacem Chehdi
1993	—	`conf`	Automatic image-enhancement method. Visual Information Processing Kacem Chehdi
1993	—	`conf`	Edge-detection method using visual perception. Visual Information Processing Kacem Chehdi, Qing-Min Liao