Activities

2025

1. Thesis defense

   Sequential Learning of SAR Image Time Series for Earth Deformation Monitoring

   El Hajjar Dana

   Synthetic Aperture Radar Interferometry (InSAR) is a remote sensing technique used to measure surface deformations with centimeter to millimeter level precision per year. This method relies on analyzing the phase differences between multiple Synthetic Aperture Radar (SAR) images acquired at different times.
   
   Thanks to satellite missions like Sentinel-1, new radar images can now be acquired every 6 to 12 days, resulting in large temporal series of observations. While this dense temporal coverage provides significant potential for monitoring surface deformation, it also leads to a substantial increase in the volume of data to process.
   
   To overcome these limitations, this thesis explores sequential phase estimation methods for MT-InSAR. Three sequential methods are proposed, including one based on Maximum Likelihood Estimation and two based on covariance fitting techniques. The approaches are validated on both synthetic and real datasets, demonstrating promising results.

   Slides

2024

1. SLSIP

   Sequential Phase Linking : Progressive Integration of SAR Images for Operational Phase Estimation

   El Hajjar Dana, Ginolhac Guillaume, El Korso Mohammed Nabil and 1 more author

   Statistical Learning for Signal and Image Processing (SLSIP) Workshop, island of Porquerolles, France 2024

   Slides

2024

1. MDIS

   Sequential Phase Linking : Progressive Integration of SAR Images for Operational Phase Estimation

   El Hajjar Dana, Ginolhac Guillaume, Yan Yajing and 1 more author

   MDIS Symposium - FormaTerre, Orléan, France 2024

   Abs Bib Poster Code

                                                                           
                                                                                 @poster{elhajjar_mdis2024,
                                                                                 title ={Sequential Phase Linking :  progressive integration of SAR images foroperational phase estimation},
                                                                                 author = {El Hajjar Dana; Ginolhac Guillaume; Yan Yajing; El Korso Mohammed Nabil},
                                                                                 journal = {{MDIS}},
                                                                                 year = {2024} ,
                                                                                 doi = {https://doi.org/10.5281/zenodo.14726538} ,
                                                                                 keywords =   {},
                                                                                 url =  {} ,
                                                                                 volume  =   {} ,
                                                                                 number   =   {} ,
                                                                                 pages =  {} ,
                                                                                 month  =  {November} ,
                                                                                 issn   =  {}}