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Caroline Lacoste
Ancien Doctorant
Mots-clés : Géométrie stochastique, MCMC, Extraction d'objets, Lineique, Routes
Démo : voir la démo de l'auteur
Contact :
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| Dernières publications dans le projet Ariana :
Unsupervised line network extraction in remote sensing using a polyline process. C. Lacoste et X. Descombes et J. Zerubia. Pattern Recognition, 43(4): pages 1631-1641, avril 2010. Mots-clés : Processus ponctuels marques, Reseaux lineiques, Road network extraction.
@ARTICLE{lacoste10,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Unsupervised line network extraction in remote sensing using a polyline process}, |
year |
= |
{2010}, |
month |
= |
{avril}, |
journal |
= |
{Pattern Recognition}, |
volume |
= |
{43}, |
number |
= |
{4}, |
pages |
= |
{1631-1641}, |
url |
= |
{http://dx.doi.org/10.1016/j.patcog.2009.11.003}, |
keyword |
= |
{Processus ponctuels marques, Reseaux lineiques, Road network extraction} |
} |
Abstract :
Marked point processes provide a rigorous framework to describe a scene by an unordered set of objects. The efficiency of this modeling has been shown on line network extraction with models manipulating interacting segments. In this paper, we extend this previous modeling to polylines composed of an unknown number of segments. Optimization is done via simulated annealing using a Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. We accelerate the convergence of the algorithm by using appropriate proposal kernels. Results on aerial and satellite images show that this new model outperforms the previous one. |
Point Processes for Unsupervised Line Network Extraction in Remote Sensing. C. Lacoste et X. Descombes et J. Zerubia. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(10): pages 1568-1579, octobre 2005.
@ARTICLE{lacoste05,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Point Processes for Unsupervised Line Network Extraction in Remote Sensing}, |
year |
= |
{2005}, |
month |
= |
{octobre}, |
journal |
= |
{IEEE Trans. Pattern Analysis and Machine Intelligence}, |
volume |
= |
{27}, |
number |
= |
{10}, |
pages |
= |
{1568-1579}, |
pdf |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32189&arnumber=1498752&count=18&index=4}, |
keyword |
= |
{} |
} |
Extraction of hydrographic networks from satellite images using a hierarchical model within a stochastic geometry framework. C. Lacoste et X. Descombes et J. Zerubia et N. Baghdadi. Dans Proc. European Signal Processing Conference (EUSIPCO), Antalya, Turkey, septembre 2005.
@INPROCEEDINGS{lacoste_eusipco05,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J. and Baghdadi, N.}, |
title |
= |
{Extraction of hydrographic networks from satellite images using a hierarchical model within a stochastic geometry framework}, |
year |
= |
{2005}, |
month |
= |
{septembre}, |
booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
address |
= |
{Antalya, Turkey}, |
url |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7078007}, |
keyword |
= |
{} |
} |
|
Liste complète des publications dans le projet Ariana
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