Adaptive Multi-temporal SAR Image Filtering Based on the Change Detection Matrix
Résumé
This letter presents an adaptive filtering approach of Synthetic Aperture Radar (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 constructed 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 11/06/2009 to 09/25/2011 over Chamonix-MontBlanc test-site which includes different kinds of change: parking occupation, glacier surface evolution, etc.
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