TEMPORAL ADAPTIVE FILTERING OF SAR IMAGE TIME SERIES BASED ON THE DETECTION OF STABLE AND CHANGE AREAS

Thu Trang Le (1) , Abdourrahmane Atto (1) , Emmanuel Trouvé (1) , Jean-Marie Nicolas (2)

1 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance
2 LTCI - Laboratoire Traitement et Communication de l'Information

This paper presents a novel multitemporal filtering approach for Synthetic Aperture Radar (SAR) images. This is a temporal adaptive filter for a time series of SAR images based on coefficient of variation test to detect stable areas and change areas. 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 kind of changes: parking occupation, glacier surface evolution, etc.

Domaines: Traitement des images [eess.IV]

Thu Trang Le, Abdourrahmane Atto, Emmanuel Trouvé, Jean-Marie Nicolas. TEMPORAL ADAPTIVE FILTERING OF SAR IMAGE TIME SERIES BASED ON THE DETECTION OF STABLE AND CHANGE AREAS. 5th TerraSAR-X / 4th TanDEM-X Science Team Meeting - 2013, Jun 2013, Oberpfaffenhofen, Germany. 4 p. ⟨hal-00975332⟩