Multi-bands image segmentation: a scalar approach
Chafik Kermad
,
Kacem Chehdi
2000
Preprints, Working Papers, ...
hal-00004627v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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.
Conference papers
hal-01111050v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Journal articles
hal-02948495v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Enhancement of Component Images of Multispectral Data by Denoising with Reference
Sergey Abramov
,
Mikhail Uss
,
Vladimir Lukin
,
Benoit Vozel
,
Kacem Chehdi
et al.
Journal articles
hal-02135627v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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.
Book sections
hal-02135685v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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.
Journal articles
hal-02135679v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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 articles
hal-02476752v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Image database TID2013: Peculiarities, results and perspectives
Nikolay Ponomarenko
,
Lina Jin
,
Oleg Ieremeiev
,
Vladimir Lukin
,
Karen Egiazarian
et al.
Journal articles
hal-01109219v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Unsupervised Nearest Neighbors Clustering with Application to Hyperspectral Images
Claude Cariou
,
Kacem Chehdi
Journal articles
hal-01133648v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Apport de la sélection de primitives point à un suivi robuste
Chafik Kermad
,
Christophe Collewet
,
Kacem Chehdi
2002
Preprints, Working Papers, ...
hal-00004626v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty
Mykhail Uss
,
Benoit Vozel
,
Vladimir Lukin
,
Kacem Chehdi
Journal articles
hal-02488912v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
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
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Image informative maps for component-wise estimating parameters of signal-dependent noise
M.L Uss
,
Benoit Vozel
,
V. V. Lukin
,
Kacem Chehdi
Journal articles
hal-00905998v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More
Lossy Compression of Remote Sensing Images with Controllable Distortions
Vladimir Lukin
,
Alexander Zemliachenko
,
Sergey Krivenko
,
Benoit Vozel
,
Kacem Chehdi
et al.
Book sections
hal-02135638v1
Actions
Share
Gmail
Facebook
Twitter
LinkedIn
More