Doctoral student, Polytech Annecy-Chambéry
Email/ E-mail :
Office / Bureau:
Address / Adresse :
LISTIC, 5 chemin de bellevue, CS80439, 74 944 Annecy Cedex
Reaserch team/ Group :
Thesis Title/ Titre Thèse :
"Recursive learning for incomplete SAR displacement time series for Earth deformation observation".
The systematic acquisition of and free access to Sentinel-1 A/B Synthetic Aperture Radar (SAR) images covering Europe every 6 days (every 12 days elsewhere) provide scientists with both opportunities and challenges for operational monitoring of Earth deformation by SAR image time series. Actually, the displacement estimation with SAR image time series has been well studied with the development of numerous multi-temporal Interferometry SAR (InSAR) methods, such as Small BAseline Subset, Permanent Scatterer Interferometry, SqueeSAR, Phase Linking methods, Multi-link InSAR, CAESAR, Least-Square estimator and EMI. However, incremental methodological development still seems necessary to reply to the operational requirement, that is, the processing should be efficient and robust, and the results should be reliable.
The systematic acquisition and open access to Sentinel-1 A/B SAR (Synthetic Aperture Radar) images covering Europe every 6 days (every 12 days elsewhere) provides scientists with both opportunities and challenges for operational monitoring of Earth deformation using SAR image time series. Currently, displacement estimation using SAR image time series has been well studied through the development of many multi-temporal SAR interferometry (InSAR) methods, such as small baseline subset, permanent scatterer interferometry, SqueeSAR, phase linkage methods, multi-linkage InSAR, CAESAR, least squares estimator, and EMI. However, progressive methodological development still seems necessary to meet operational requirements, i.e., the processing must be efficient and robust, and the results must be reliable.
Keywords / Mots-clefs :
SAR interferometry, robust statistics, recursive estimation, missing data imputation, time series
SAR interferometry, robust statistics, robust estimation, missing data imputation, time series
Phd supervisor / Directeur de thèse :
Phd co-supervisors / Co-directors :
Mohammed Nabil EL KORSO
Start of the thesis / Début de la thèse :
Doctoral school / Ecole doctorale :
Sciences, Engineering, Environment (SIE)