Abstract:

This paper presents an adaptive filtering approach of Synthetic Aperture Rada (SAR) image times series based on the analysis of the temporal evolution. First of all, change detection matrices (CDM) containing information on changed and unchanged pixels are construcsted for each spatial position over the time series by implementing coefficient of variation (CV) cross tests. Afterwards, the CDM provides for each pixel in each image, an adaptive spatio-temporal neighborhood which is used to derive the filtered value. The proposed approach is illustrated on a time series of 25 ascending TerraSAR-X images acquired from November 06, 2009 to September 25, 2011 over Chamonix-Mont-Blanc test-site which includes different kinds of change: parking occupation, glacier surface evolution etc.