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Communication Dans Un Congrès Année : 2015

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

Résumé

Change detection is a difficult task which intends to determine the changes of specific features within a certain time interval. These change features are various and come from different causes. Synthetic aperture radar (SAR) imagery is particularly appropriate for change detection thanks to the data acquisition possibility independently of Sun illumination and cloud coverage of SAR system. The launch of new generation satellites allows to collect SAR image time series of fine spatial/temporal resolution images from repeat-pass orbits. The Sentinel-1 SAR data are recently supplied free of charge for all data users, thus opening new opportunities and challenges to process new data. This paper provides initial change detection results on a time series of 10 dual polarimetric IW level-1 single look complex (SLC) Sentinel-1 SAR images acquired in descending pass over Chamonix-Mont-Blanc, France. The presence of changes occurring 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).
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Dates et versions

hal-01153679 , version 1 (20-05-2015)

Identifiants

  • HAL Id : hal-01153679 , version 1

Citer

Thu Trang Le, Abdourrahmane Atto, Emmanuel Trouvé. Change analysis of dual polarimetric Sentinel-1 SAR image time series using stationary wavelet transform and change detection matrix . IEEE 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MULTITEMP), 2015, Jul 2015, Annecy, France. ⟨hal-01153679⟩
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