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authFullName_s : Kacem Chehdi
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Multi-bands image segmentation: a scalar approach

Chafik Kermad , Kacem Chehdi
2000
Preprints, Working Papers, ... hal-00004627v1
Image document

Application of unsupervised nearest-neighbor density-based approaches to sequential dimensionality reduction and clustering of hyperspectral images

Claude Cariou , Kacem Chehdi
Image and Signal Processing for Remote Sensing, Sep 2018, Berlin, Germany. pp.16, ⟨10.1117/12.2325530⟩
Conference papers hal-02354587v1

A New Color Image Database TID2013: Innovations and Results

Nikolay Ponomarenko , Oleg Ieremeiev , Vladimir Lukin , Lina Jin , Karen Egiazarian et al.
15th International Conference Advanced Concepts for Intelligent Vision Systems, Oct 2013, Poznań, Poland. http://link.springer.com/chapter/10.1007%2F978-3-319-02895-8_36, ⟨10.1007/978-3-319-02895-8_36⟩
Conference papers istex hal-01126966v1

A Precise Lower Bound on Image Subpixel Registration Accuracy

Mikhail L. Uss , Benoit Vozel , Vitaliy A. Dushepa , Vladimir A. Komjak , Kacem Chehdi et al.
IEEE Transactions on Geoscience and Remote Sensing, 2014, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6570757&isnumber=6750066. ⟨10.1109/TGRS.2013.2272559⟩
Journal articles hal-01109199v1

Image Visual Quality Metrics Verification By TID2013: Exploring Of Mean Square Error Drawbacks

N. Ponomarenko , V. Lukin , O. Ieremeiev , Benoît Vozel , Kacem Chehdi et al.
5th European Workshop on Visual Information Processing (EUVIP), Dec 2014, Villetaneuse, Paris, France. ⟨10.1109/EUVIP.2014.7018376⟩
Conference papers hal-01111050v1

A Method For Automatic Blind Estimation Of Additive Noise Variance In Digital Images

V. Lukin , S. Abramov , A. Popov , P. Eltsov , Benoît Vozel et al.
Telecommunications and Radio Engineering, 2011, 69 (19), http://www.dl.begellhouse.com/journals/0632a9d54950b268,7ac25b9376db0000,7069233f14801035.html. ⟨10.1615/TelecomRadEng.v69.i19.10⟩
Journal articles hal-01109235v1

On Requirements To Accuracy Of Noise Variance Estimation In Prediction Of Dct-Based Filter Efficiency

V.V. Abramova , S.K. Abramov , Oleksii S. Rubel , Benoit Vozel , Kacem Chehdi et al.
Telecommunications and Radio Engineering, 2016
Journal articles hal-02135797v1

Towards a Blind Restoration Method of Hyperspectral Images

Mo Zhang , Benoit Vozel , Kacem Chehdi , Mykhail Uss , Sergey Abramov et al.
Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325456⟩
Conference papers hal-02018910v1
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Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases

Mikhail L. Uss , Benoit Vozel , Sergey K. Abramov , Kacem Chehdi
IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (1), pp.60-75. ⟨10.1109/TGRS.2020.2992597⟩
Journal articles hal-02948495v1
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Enhancement of Component Images of Multispectral Data by Denoising with Reference

Sergey Abramov , Mikhail Uss , Vladimir Lukin , Benoit Vozel , Kacem Chehdi et al.
Remote Sensing, 2019, 11 (6), pp.611. ⟨10.3390/rs11060611⟩
Journal articles hal-02135627v1
Image document

Despeckling of Multitemporal Sentinel SAR Images and Its Impact on Agricultural Area Classification

Vladimir Lukin , Oleksii Rubel , Ruslan Kozhemiakin , Sergey Abramov , Andrii Shelestov et al.
Recent Advances and Applications in Remote Sensing, InTech, 2018, ⟨10.5772/intechopen.72577⟩
Book sections hal-02135685v1

Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images

Alexander Zemliachenko , Ruslan Kozhemiakin , Sergey Abramov , Vladimir Lukin , Benoit Vozel et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (1), pp.257-270. ⟨10.1109/JSTARS.2017.2781906⟩
Journal articles hal-02135679v1

Application of filtering efficiency prediction to hyperspectral data pre-processing

V.V. Lukin , S. S. Krivenko , S.K. Abramov , M. Zriakhov , M.L Uss et al.
Ukrainian Journal Of Remote Sensing, 2015
Journal articles hal-02135855v1

Preliminary filtering and lossy compression of noisy remote sensing images

Alexander N. Zemliachenko , Sergey K. Abramov , Vladimir V. Lukin , Benoit Vozel , Kacem Chehdi et al.
Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325102⟩
Conference papers hal-02018908v1

Using inter-channel correlation in blind evaluation of noise characteristics in multichannel remote sensing images

Victoriya V. Abramova , Sergey K. Abramov , Vladimir V. Lukin , Benoit Vozel , Kacem Chehdi et al.
Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325100⟩
Conference papers hal-02018920v1

Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters

Alexander Zemliachenko , Sergey Abramov , Vladimir Lukin , Benoit Vozel , Kacem Chehdi et al.
Journal of applied remote sensing, 2015, 9 (1), pp.095066. ⟨10.1117/1.JRS.9.095066⟩
Journal articles hal-02476752v1
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Image database TID2013: Peculiarities, results and perspectives

Nikolay Ponomarenko , Lina Jin , Oleg Ieremeiev , Vladimir Lukin , Karen Egiazarian et al.
Signal Processing: Image Communication, 2015, 30, pp.57-77. ⟨10.1016/j.image.2014.10.009⟩
Journal articles hal-01109219v1
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Unsupervised Nearest Neighbors Clustering with Application to Hyperspectral Images

Claude Cariou , Kacem Chehdi
IEEE Journal of Selected Topics in Signal Processing, 2015, 9 (6), pp.1105 - 1116. ⟨10.1109/JSTSP.2015.2413371⟩
Journal articles hal-01133648v1
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Apport de la sélection de primitives point à un suivi robuste

Chafik Kermad , Christophe Collewet , Kacem Chehdi
2002
Preprints, Working Papers, ... hal-00004626v1
Image document

GWENN-SS: a simple semi-supervised nearest-neighbor density-based classification method with application to hyperspectral images

Claude Cariou , Kacem Chehdi , Steven Le Moan
Image and Signal Processing for Remote Sensing XXV, Sep 2019, Strasbourg, France. pp.17, ⟨10.1117/12.2533140⟩
Conference papers hal-02354583v1
Image document

Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty

Mykhail Uss , Benoit Vozel , Vladimir Lukin , Kacem Chehdi
Remote Sensing, 2020, 12 (4), pp.703. ⟨10.3390/rs12040703⟩
Journal articles hal-02488912v1

Color image database TID2013: Peculiarities and preliminary results

N. Ponomarenko , O. Ieremeiev , V. Lukin , K. Egiazarian , L. Jin et al.
4th European Workshop on Visual Information Processing (EUVIP), Jun 2013, Paris, France. http://www.ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6623960&isnumber=6623946
Conference papers hal-01111092v1

Approaches To Automatic Data Processing In Hyperspectral Remote Sensing

V. V. Lukin , S. K. Abramov , N. N. Ponomarenko , S. S. Krivenko , M. L. Uss et al.
Telecommunications and Radio Engineering, 2014, 13, http://dl.begellhouse.com/journals/0632a9d54950b268,6b541fef7dc47de0,59013a284700b5c4.html. ⟨10.1615/TelecomRadEng.v73.i13.10⟩
Journal articles hal-01109209v1

Affinity propagation for large size hyperspectral image classification

Mariem Soltani , Kacem Chehdi , Claude Cariou
Conference on Image and Signal Processing for Remote Sensing XIX, Sep 2013, Dresde, Germany. pp.UNSP 88920P, ⟨10.1117/12.2028870⟩
Conference papers hal-00959550v1

An Unsupervised Nonparametric and Cooperative Approach for Classification of Multicomponent Image Contents

Akar Taher , Kacem Chehdi , Claude Cariou
International Conference on Pattern Recognition Applications and methods, Mar 2014, Angers, France. pp.263-270, ⟨10.5220/0004828502630270⟩
Conference papers hal-01126613v1

Lower Bound On Image Filtering Mean Squared Error In The Presence Of Spatially Correlated Noise

M.L. Uss , A.S. Rubel , V. Lukin , Benoît Vozel , Kacem Chehdi et al.
IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), Sep 2014, Kiev, Ukraine. http://www.ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6956653&isnumber=6956645, ⟨10.1109/MRRS.2014.6956653⟩
Conference papers hal-01111023v1

Performance evaluation for blind methods of noise characteristic estimation for TerraSAR-X images

Vladimir V. Lukin , Sergey K. Abramov , Dmitriy V. Fevralev , Nikolay N. Ponomarenko , Karen Egiazarian et al.
Conference on Image and Signal Processing for Remote Sensing XVII, Sep 2011, Prague, Czech Republic. pp.81800X, ⟨10.1117/12.897730⟩
Conference papers hal-00947026v1

Sélection supervisée d’attributs en haute dimension via l’approximation de Kirkwood

Claude Cariou , Kacem Chehdi
GRETSI 2013, Sep 2013, Brest, France
Conference papers hal-01124402v1

Image informative maps for component-wise estimating parameters of signal-dependent noise

M.L Uss , Benoit Vozel , V. V. Lukin , Kacem Chehdi
Journal of Electronic Imaging, 2013, 22 (1), pp.Id. 013019. ⟨10.1117/JEI.22.1.013019⟩
Journal articles hal-00905998v1

Lossy Compression of Remote Sensing Images with Controllable Distortions

Vladimir Lukin , Alexander Zemliachenko , Sergey Krivenko , Benoit Vozel , Kacem Chehdi et al.
Satellite Information Classification and Interpretation, IntechOpen, 2018, ⟨10.5772/intechopen.82361⟩
Book sections hal-02135638v1