Volume XXXIX-B7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 293-298, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B7-293-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 293-298, 2012
https://doi.org/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

01 Aug 2012

MULTI-TEMPORAL SAR CHANGE DETECTION AND MONITORING

S. Hachicha and F. Chaabane 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.