ADAPTIVE MULTITEMPORAL FILTERING OF POLARIMETRIC SAR IMAGES
Résumé
This paper proposes an approach for temporal adaptive filtering of Polarimetric Synthetic Aperture Radar (PolSAR) image time series by integrating a change detection tech-nique. The filtering strategy is based on the detection of changed and unchanged areas derived by applying an ap-propriate similarity test. A time series including 7 descend-ing fine-quad polarization RADARSAT2 images acquired over the Chamonix-MontBlanc test-site which includes different kinds of change is used to validate the proposed method.
Origine | Fichiers produits par l'(les) auteur(s) |
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