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Publications of Xavier Descombes
Result of the query in the list of publications :
97 Conference articles |
16 - Building Extraction and Change Detection in Multitemporal Remotely Sensed Images with Multiple Birth and Death Dynamics.
C. Benedek and X. Descombes and J. Zerubia. In IEEE Workshop on Applications of Computer Vision (WACV), pages 100-105, Snowbird, Utah, USA, December 2009.
Keywords : Marked point process, Change detection, Aerial images, Building extraction, Satellite images.
@INPROCEEDINGS{benedekWacv09,
|
| author |
= |
{Benedek, C. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Building Extraction and Change Detection in Multitemporal Remotely Sensed Images with Multiple Birth and Death Dynamics}, |
| year |
= |
{2009}, |
| month |
= |
{December}, |
| booktitle |
= |
{IEEE Workshop on Applications of Computer Vision (WACV)}, |
| pages |
= |
{100-105}, |
| address |
= |
{Snowbird, Utah, USA}, |
| pdf |
= |
{http://hal.archives-ouvertes.fr/docs/00/42/66/18/PDF/benedekWACV09.pdf}, |
| keyword |
= |
{Marked point process, Change detection, Aerial images, Building extraction, Satellite images} |
| } |
Abstract :
In this paper we introduce a new probabilistic method which integrates building extraction with change detection in remotely sensed image pairs. A global optimization process attempts to find the optimal configuration of buildings, considering the observed data, prior knowledge, and interactions between the neighboring building parts. The accuracy is ensured by a Bayesian object model verification, meanwhile the computational cost is significantly decreased by a non-uniform stochastic object birth process, which proposes relevant objects with higher probability based on low-level image features.
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17 - Reconstruction 3D du bâti par la technique des ombres chinoises.
P. Lukashevish and A. Kraushonak and X. Descombes and J.D. Durou and B. Zalessky and E. Zhizhina. In GRETSI Dijon, Dijon, France, November 2009.
Keywords : 3D reconstruction.
@INPROCEEDINGS{luka09,
|
| author |
= |
{Lukashevish, P. and Kraushonak, A. and Descombes, X. and Durou, J.D. and Zalessky, B. and Zhizhina, E.}, |
| title |
= |
{Reconstruction 3D du bâti par la technique des ombres chinoises}, |
| year |
= |
{2009}, |
| month |
= |
{November}, |
| booktitle |
= |
{GRETSI Dijon}, |
| address |
= |
{Dijon, France}, |
| url |
= |
{http://hal.inria.fr/inria-00399208/fr/}, |
| keyword |
= |
{3D reconstruction} |
| } |
|
18 - Object extraction from high resolution SAR images using a birth and death dynamics.
F. Arslan and X. Descombes and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009.
Keywords : High resolution SAR images, Object extraction, Marked point process, birth and death process.
@INPROCEEDINGS{Fatih09,
|
| author |
= |
{Arslan, F. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Object extraction from high resolution SAR images using a birth and death dynamics}, |
| year |
= |
{2009}, |
| month |
= |
{November}, |
| booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| address |
= |
{Cairo, Egypt}, |
| url |
= |
{http://dx.doi.org/10.1109/ICIP.2009.5413907}, |
| keyword |
= |
{High resolution SAR images, Object extraction, Marked point process, birth and death process} |
| } |
Abstract :
We present a new approach to extract predefined objects, such as trees and oil tanks for instance, from high resolution SAR images. We consider a stochastic approach based on an object process also called marked point process. The objects represent trees or oil tanks which are modeled by disks in the image. We first define a Gibbs density that takes into account both prior information and the data. The energy we define is composed of two terms, one is a prior, penalizing overlaps between objects, and the other is a data term, which measures the suitability of an object in the SAR image. The problem is then reduced to an energy minimization problem. We sample the process to extract the configuration of objects minimizing the energy by a fast birth-and-death dynamics, leading to the total number of objects (trees or oil tanks in our case). This approach is much faster than manual counts and does not need any preprocessing or supervision of a user. |
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19 - Estimation des paramètres de processus ponctuels marqués dans le cadre de l'extraction d’objets en imagerie de télédétection.
F. Chatelain and X. Descombes and J. Zerubia. In Proc. Symposium on Signal and Image Processing (GRETSI), Dijon, France, November 2009.
@INPROCEEDINGS{cha09a,
|
| author |
= |
{Chatelain, F. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Estimation des paramètres de processus ponctuels marqués dans le cadre de l'extraction d’objets en imagerie de télédétection}, |
| year |
= |
{2009}, |
| month |
= |
{November}, |
| booktitle |
= |
{Proc. Symposium on Signal and Image Processing (GRETSI)}, |
| address |
= |
{Dijon, France}, |
| url |
= |
{http://hal.inria.fr/inria-00399258/fr/}, |
| keyword |
= |
{} |
| } |
|
20 - Parameter estimation for marked point processes. Application to object extraction from remote sensing images. (poster).
F. Chatelain and X. Descombes and J. Zerubia. In Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Bonn, Germany, August 2009.
@INPROCEEDINGS{ChatelainEMMCVPR09,
|
| author |
= |
{Chatelain, F. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Parameter estimation for marked point processes. Application to object extraction from remote sensing images. (poster)}, |
| year |
= |
{2009}, |
| month |
= |
{August}, |
| booktitle |
= |
{Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, |
| address |
= |
{Bonn, Germany}, |
| url |
= |
{http://link.springer.com/chapter/10.1007%2F978-3-642-03641-5_17}, |
| keyword |
= |
{} |
| } |
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21 - Conditional mixed-state model for structural change analysis from very high resolution optical images.
B. Belmudez and V. Prinet and J.F. Yao and P. Bouthemy and X. Descombes. In Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, July 2009.
Keywords : Change detection, mixed Markov models.
@INPROCEEDINGS{bel09,
|
| author |
= |
{Belmudez, B. and Prinet, V. and Yao, J.F. and Bouthemy, P. and Descombes, X.}, |
| title |
= |
{Conditional mixed-state model for structural change analysis from very high resolution optical images}, |
| year |
= |
{2009}, |
| month |
= |
{July}, |
| booktitle |
= |
{IGARSS}, |
| address |
= |
{Cape Town, South Africa}, |
| url |
= |
{http://hal.archives-ouvertes.fr/inria-00398062/}, |
| keyword |
= |
{Change detection, mixed Markov models} |
| } |
Abstract :
The present work concerns the analysis of dynamic scenes from earth observation images. We are interested in building a map which, on one hand locates places of change, on the other hand, reconstructs a unique visual information of the non-change areas. We show in this paper that such a problem can naturally be takled with conditional mixed-state random field modeling (mixed-state CRF), where the ”mixed state” refers to the symbolic or continous nature of the unknown variable. The maximum a posteriori (MAP) estimation of the CRF is, through the Hammersley-Clifford theorem, turned into an energy minimisation problem. We tested the model on several Quickbird images and illustrate the quality of the results. |
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22 - Fast Realization of Digital Elevation Model .
X. Descombes and A. Kraushonak and P. Lukashevish and B. Zalessky. In PRIP , pages 156-160, Minsk, Belarus, May 2009.
@INPROCEEDINGS{KRA-09,
|
| author |
= |
{Descombes, X. and Kraushonak, A. and Lukashevish, P. and Zalessky, B.}, |
| title |
= |
{Fast Realization of Digital Elevation Model }, |
| year |
= |
{2009}, |
| month |
= |
{May}, |
| booktitle |
= |
{PRIP }, |
| pages |
= |
{156-160}, |
| address |
= |
{Minsk, Belarus}, |
| url |
= |
{http://www.iapr.org/members/newsletter/Newsletter09-03/index_files/Page420.htm}, |
| pdf |
= |
{https://hal.inria.fr/inria-00423678/document}, |
| keyword |
= |
{} |
| } |
|
23 - A Geometric Primitive Extraction Process for Remote Sensing Problems..
F. Lafarge and G. Gimel'farb and X. Descombes. In Proc. Advanced Concepts for Intelligent Vision Systems, pages 518-529, Juan-les-Pins, France, October 2008.
Copyright :
@INPROCEEDINGS{LGF2008,
|
| author |
= |
{Lafarge, F. and Gimel'farb, G. and Descombes, X.}, |
| title |
= |
{A Geometric Primitive Extraction Process for Remote Sensing Problems.}, |
| year |
= |
{2008}, |
| month |
= |
{October}, |
| booktitle |
= |
{ACIVS}, |
| pages |
= |
{518-529}, |
| address |
= |
{Juan-les-Pins, France}, |
| pdf |
= |
{http://www.springerlink.com/content/b228321527177226/}, |
| keyword |
= |
{} |
| } |
|
24 - Unsupervised One-Class SVM Using a Watershed Algorithm and Hysteresis Thresholding to Detect Burnt Areas.
O. Zammit and X. Descombes and J. Zerubia. In Proc. International Conference on Pattern Recognition and Image Analysis (PRIA), Nizhny Novgorod, Russia, September 2008.
Keywords : Classification, Segmentation, Support Vector Machines, Burnt areas, Forest fires, Satellite images.
Copyright :
@INPROCEEDINGS{zammit_pria_08,
|
| author |
= |
{Zammit, O. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Unsupervised One-Class SVM Using a Watershed Algorithm and Hysteresis Thresholding to Detect Burnt Areas}, |
| year |
= |
{2008}, |
| month |
= |
{September}, |
| booktitle |
= |
{Proc. International Conference on Pattern Recognition and Image Analysis (PRIA)}, |
| address |
= |
{Nizhny Novgorod, Russia}, |
| pdf |
= |
{http://hal.inria.fr/inria-00316297/fr/}, |
| keyword |
= |
{Classification, Segmentation, Support Vector Machines, Burnt areas, Forest fires, Satellite images} |
| } |
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25 - Combining One-Class Support Vector Machines and hysteresis thresholding: application to burnt area mapping.
O. Zammit and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, August 2008.
Note : to appear.
Keywords : Classification, Satellite images, Support Vector Machines, Burnt areas, Forest fires, Clustering.
Copyright :
@INPROCEEDINGS{zammit_eusipco_08,
|
| author |
= |
{Zammit, O. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Combining One-Class Support Vector Machines and hysteresis thresholding: application to burnt area mapping}, |
| year |
= |
{2008}, |
| month |
= |
{August}, |
| booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
| address |
= |
{Lausanne, Switzerland}, |
| url |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7080254}, |
| keyword |
= |
{Classification, Satellite images, Support Vector Machines, Burnt areas, Forest fires, Clustering} |
| } |
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