Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 293-298, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/293/2012/
doi:10.5194/isprsarchives-XXXIX-B7-293-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
01 Aug 2012
MULTI-TEMPORAL SAR CHANGE DETECTION AND MONITORING
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, doi:10.5194/isprsarchives-XXXIX-B7-293-2012, 2012.

BibTeX EndNote Reference Manager XML