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PSInSAR Algorithm improvement using amplitude dispersion index optimization of Sentinel1-A Dual-Polarimetric
Saeed Azadnezhad Mr, Yasser Maghsoudi Dr
Abstract:   (35 Views)
Persistent Scatterer Interferometry (PSI) techniques are powerful tools for measuring ground deformation over wide areas. In all PSI techniques, the processing is carried out only on the persistent-scatterer (PS), those are coherent over long time intervals. Therefore, high density and phase quality of these pixels are the most effective factors on the results of these techniques. With the recent launch of satellite SAR sensors such as ALOS-2, RadarSat-2, TerraSAR-X, Sentinel-1, it is possible now to acquire images with more than one polarimetric channel. Recent researches have shown that using multi-polarization data in comparison to single polarization data improves the PSI method efficiency by increasing the number of the PS pixels. In this regard, we employ a method to improve the conventional PSInSAR algorithm for detecting PSC by using polarimetric optimization method on dual-pol SAR data. The improvement of this research is based on minimizing ADI criterion by means of an Exhaustive Search Polarimetric Optimization method to increase the number of PSCs. The proposed method is tested using a dataset of 17 dual-pol SAR data (VV/VH) acquired by Sentinel1-A satellite. The results reveal that using the optimum scattering mechanism increases the number of PSC about 2.6 times and PS density about 2 times than using single channel datasets.
Keywords: Persistent Scatterer Interferometry (PSI), persistent-scatterer (PS), dual-polarimetric, PSInSAR, Exhaustive Search Polarimetric Optimization(ESPO), ADI.
     
Type of Study: Research | Subject: Photo&RS
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نشریه علمی پژوهشی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology