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Vladimir Krylov
Post-Doctorant, INRIA Sophia Antipolis
 Mots-clés : Champs Markoviens, Estimation de paramètres, Texture, Classification
 Démo : voir la démo de l'auteur
 Contact :
| E-Mail : | | vladimirdotkrylovatinriadotfr | | Téléphone : | | (33)4-89-73-24-43 | | Fax : | | (33)4-92-38-76-43 | | Adresse : | | INRIA Sophia Antipolis
2004, route des Lucioles
06902 Sophia Antipolis Cedex
France | | Site personnel : | | visitez ! |
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| Mini CV :
Vladimir A. Krylov received the “specialist” (M.S.) degree in applied mathematics and the “candidate of physico-mathematical sciences” (Ph.D.) degree in mathematics (with specialization in probability theory and mathematical statistics) both from the Lomonosov Moscow State University, Moscow, Russia, in 2007 and 2011, respectively.
Since 2008 he has been collaborating as a visiting Ph.D. student with Ariana research group, INRIA Sophia Antipolis, France. Currently he is working as a Postdoctoral Fellow with ARIANA project, INRIA. His main research interest lies in the field of statistical image analysis and processing. In particular, his work concerns statistical modeling, classification and multitemporal change detection of remote sensing imagery. |
Dernières publications dans le projet Ariana :
Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test.
V. Krylov et G. Moser et A. Voisin et S.B. Serpico et J. Zerubia. Dans Proc. IEEE International Conference on Image Processing (ICIP), Orlando, United States, octobre 2012.
@INPROCEEDINGS{ICIP12,
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| author |
= |
{Krylov, V. and Moser, G. and Voisin, A. and Serpico, S.B. and Zerubia, J.}, |
| title |
= |
{Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test}, |
| year |
= |
{2012}, |
| month |
= |
{octobre}, |
| booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| address |
= |
{Orlando, United States}, |
| url |
= |
{http://hal.inria.fr/hal-00724284}, |
| keyword |
= |
{} |
| } |
Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model.
A. Voisin et V. Krylov et G. Moser et S.B. Serpico et J. Zerubia. Dans EURASIP, Bucarest, Romania, août 2012.
@INPROCEEDINGS{EURASIP12,
|
| author |
= |
{Voisin, A. and Krylov, V. and Moser, G. and Serpico, S.B. and Zerubia, J.}, |
| title |
= |
{Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model}, |
| year |
= |
{2012}, |
| month |
= |
{août}, |
| booktitle |
= |
{EURASIP}, |
| address |
= |
{Bucarest, Romania}, |
| url |
= |
{http://hal.inria.fr/hal-00723286}, |
| keyword |
= |
{} |
| } |
Probability Density Function Estimation for Classification of High Resolution SAR Images.
V. Krylov et G. Moser et S. Serduc et J. Zerubia. Dans Signal Processing for Remote Sensing, Second Edition, pages 339-363, Ed. C. Chen., Publ. Taylor & Francis, février 2012.
@INCOLLECTION{Taylor12,
|
| author |
= |
{Krylov, V. and Moser, G. and Serduc, S. and Zerubia, J.}, |
| title |
= |
{Probability Density Function Estimation for Classification of High Resolution SAR Images}, |
| year |
= |
{2012}, |
| month |
= |
{février}, |
| booktitle |
= |
{Signal Processing for Remote Sensing, Second Edition}, |
| pages |
= |
{339-363}, |
| editor |
= |
{C. Chen.}, |
| publisher |
= |
{Taylor & Francis}, |
| url |
= |
{https://www.crcpress.com/Signal-and-Image-Processing-for-Remote-Sensing-Second-Edition/Chen/9781439855966}, |
| pdf |
= |
{https://hal.inria.fr/hal-00729044/document}, |
| keyword |
= |
{} |
| } |
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Liste complète des publications dans le projet Ariana
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Rapport d'activité 2011
