Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31097
Multiscale Analysis and Change Detection Based on a Contrario Approach

Authors: F.Katlane, M.S.Naceur, M.A.Loghmari


Automatic methods of detecting changes through satellite imaging are the object of growing interest, especially beca²use of numerous applications linked to analysis of the Earth’s surface or the environment (monitoring vegetation, updating maps, risk management, etc...). This work implemented spatial analysis techniques by using images with different spatial and spectral resolutions on different dates. The work was based on the principle of control charts in order to set the upper and lower limits beyond which a change would be noted. Later, the a contrario approach was used. This was done by testing different thresholds for which the difference calculated between two pixels was significant. Finally, labeled images were considered, giving a particularly low difference which meant that the number of “false changes” could be estimated according to a given limit.

Keywords: Multi-scale, change detection, a contrario approach, significantthresholds

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1175


[1] P. R. Coppin, I. Jonckheere and K. Nachaerts, " Digital change detection in ecosystem monitoring--, Int. J. of Remote Sensing, vol. 24, 2003, pp. 1-33 .
[2] D. Lu, P. Mausel, E. Brondizio and E. Moran, "Change detection techniques--, Int. J. of Remote Sensing, vol. 25, no. 12, pp. 2365-2407 (2004).
[3] H. Ola , G. J. Hay, -- A Multiscale Object-Specific Approch to Digital Change Detection,-- International Journal of Applied Earth Observation and Geoinformation, Volume 4, Issue 4, November 2003, Pages 311- 327.
[4] C. Carincotte, "Segmentation markovienne floue d-images application en détection de changements entre images radar--, thèse ├á l-université Paul Cezanne Aix-Marseille, 2005.
[5] A. Desolneux, " Evénements significatifs et applications a l'analyse d'images--, PhD thesis, Ecole Normale Supérieure de Cachan, Décembre 2000.
[6] A. Desolneux, L. Moisan, and J.M. Morel, "Edge detection by Helmholtz principle--, Journal of Mathematical Imaging and Vision, 14(3):271 n┬░ 284, 2001.
[7] A. Desolneux, L. Moisan and J.-M. Morel, Gestalt Theory and Computer Vision, chapter (pp.71-101) in the book Seeing, Thinking and Knowing, edited by A. Carsetti, Kluwer Academic Publishers, 2004.
[8] A. andres, "Sur quelques problèmes mathématiques en analyse d'images et vision stéréoscopique--, habilitation a dirigé des recherches Université Paris V Rene Descartes U.F.R. mathematiques et informatique, 1 décembre 2005.
[9] R. Amandine, "Approche a contrario pour la détection de changements ├á partir d'images satellite basse résolution--, GRETSI 2005 , Louvain-la- Neuve, 6-9 Septembre 2005.
[10] C. Thomas, " fusion d-images de résolutions spatiales différentes " l-Ecole des Mines de Paris, 196pages, déc 2006.
[11] G. Celeux, G,Govaert, "A Classification EM Algorithm for Clustering and Two Stochastic Versions," Computational Statistics and Data Analysis, vol. 14, pp. 315-332, 1992.
[12] S. Hese and C. Schmullius, "Forest cover change detection in Siberia", in Proc. of the High Resolution Mapping from Space Workshop, 2003.
[13] A. Desolneux, L. Moisan, and J.M. Morel. "A grouping principle and four applications", IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(4), 508-513, April 2003.
[14] R. Amandine, " détection de changements et classification souspixeliques en imagerie satellitaire--, thèse université PARIS DESCARTES, 249 pages, 2007.