Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 293-298, 2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
01 Aug 2012
S. Hachicha and F. Chaabane Carthage University, Sup'Com, COSIM laboratory, Route de Raoued, 3.5 Km, Elghazala Tunisia
Keywords: Spatio-temporal NL-means filtering, Rayleigh Kullback Leibler, Rayleigh Distribution Ratio, DSMT fusion, temporal classification Abstract. Multitemporal SAR images are a very useful source of information for a large amount of applications, especially for change detection and monitoring. In this paper, a new SAR change detection and monitoring approach is proposed through the analysis of a time series of SAR images covering the same region. The first step of the method is the SAR filtering preprocessing step using an extension of the spatial NL-means filter to the temporal domain. Then, the Rayleigh Kullback Leibler and the Rayleigh Distribution Ratio measures are combined to detect the changes between a reference image and each SAR image of the time series at both local and global scale. These measures are combined using the Dezert-Smarandache theory which takes into account conflicts between sources and thus enhances the dual change detection results. Finally, a pixel based temporal classification is applied starting from the obtained change maps in order to describe the temporal behaviour of the covered regions.
Conference paper (PDF, 1153 KB)

Citation: Hachicha, S. and Chaabane, F.: MULTI-TEMPORAL SAR CHANGE DETECTION AND MONITORING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 293-298,, 2012.

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