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Communication Dans Un Congrès Année : 2015

Change analysis using multitemporal Sentinel-1 SAR images

Résumé

Multitemporal Synthetic Aperture Radar (SAR) images are suitable and useful for analyzing changes on the Earth’s surface due to the operation in all-time and all weather conditions of SAR system. Change detection methods can be used in a wide range of applications, such as environmental monitoring, agricultural surveys, urban studies, forest monitoring etc. The ESA Sentinel-1 European Radar Observatory is the constellation of two C-band radar satellites providing SAR images in single and dual polarization for different acquisition modes: Strip Map (SM), Interferometric Wide Swath (IW) and Extra Wide Swath (EW) with a repeat cycle of 12 days (1 satellite) or 6 days (2 satellites). Sentinel data are made available recently and free of charge to all data users and thus, opening new opportunities and challenges to process new data. This paper presents a method for analyzing SAR image time series and provides initial change detection results on a time series of 11 descending IW Level-1 Single Look Complex (SLC) Sentinel-1 SAR images over Chamonix-Mont-Blanc, France. This method is based on the change detection matrix which identifies the presence of changes in the time series.
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Dates et versions

hal-01153674 , version 1 (20-05-2015)

Identifiants

  • HAL Id : hal-01153674 , version 1

Citer

Thu Trang Le, Abdourrahmane Atto, Emmanuel Trouvé. Change analysis using multitemporal Sentinel-1 SAR images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015, Jul 2015, Milan, Italy. ⟨hal-01153674⟩
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