شماره ركورد كنفرانس :
4001
عنوان مقاله :
DETECTION OF PERMANENT SCATTERERS USING CO-POLARIZATION PHASE DIFFERENCE WITH UAVSAR DATA
پديدآورندگان :
nikaein T Tina_nikaein@ut.ac.ir University of Tehran , akbari V vahid.akbari@uit.no University of Tromsø , Arefi H hossein.arefi@ut.ac.ir University of Tehran
كليدواژه :
Persistent Scatterers (PSs) , Polarimetry , Polarization Phase Difference (PPD) , Synthetic Aperture Radar (SAR) , UAVSAR.
عنوان كنفرانس :
دومين همايش بين المللي پژوهش هاي اطلاعات مكاني و چهارمين همايش بين المللي سنجنده ها و مدل ها در فتوگرامتري و سنجش از دور و ششمين همايش بين المللي مشاهدات زميني در تغييرات محيطي
چكيده فارسي :
In this work we apply a technique based on Polarization Phase Difference (PPD) to determine Persistent Scatterers (PSs). This method have been already evaluated on spaceborne satellite data, while we test it on airborne SAR data for the first time. The proposed approach shows that the algorithm could increase the number of pixel candidates over a small set of SAR data by analysing PPD between HH and VV channels. Pixels with even or odd bounce scattering attributes are chosen as PSs. Furthermore, a standard PSs selection method based on minimizing Amplitude Dispersion Index (ADI) is applied and the results are compared to demonstrate that both techniques are complementary, But PPD method is able to use a small set of SAR data and is not obligated to have a large number of data so it is useful to estimate the deformation rate for a short time period. In general, PSs detection can improve the potential of standard InSAR techniques and also polarimetry SAR data (quad/dual polarized) prepare extra information in order to improve InSAR analysis. In this paper, polarimetric data is used to enhance the PS selection. We test the approach on a dataset containing five quad-polarization SAR data acquired by UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar) sensor from November 2014 to October 2016 over Riovista region. The results present that using polarimetry SAR data can enhance the ability of PS detection for InSAR applications and PPD method can detect pixel candidates properly with only small set of SAR images.