Change analysis of dual polarimetric Sentinel-1 SAR image time series using stationary wavelet transform and change detection matrix

This paper provides initial change detection results on a time series of 11 dual polarimetric IW level-1 single look complex (SLC) Sentinel-1 SAR images acquired in descending pass over Chamonix Mont-Blanc, France. The changed and unchanged information in the time series is identified in the change detection matrix (CDM) constructed by similarity cross tests between wavelet extracted features issued from stationary wavelet transform (SWT). The analysis from multiscale decomposition allows the separation of multidate pixel changes in low frequencies from changes in high frequencies. The index of change dynamics derived from CDM enables to analyze the temporal evolution of the observed area.