TY - JOUR

T1 - Persistent Scatterer Analysis Using Dual-Polarization Sentinel-1 Data

T2 - Contribution from VH Channel

AU - Shamshiri, Roghayeh

AU - Nahavandchi, Hossein

AU - Motagh, Mahdi

N1 - Funding information: Manuscript received September 4, 2017; revised January 10, 2018 and April 30, 2018; accepted May 31, 2018. Date of publication July 3, 2018; date of current version September 5, 2018. This work was supported by the Norwegian University of Science and Technology. (Corresponding author: Roghayeh Shamshiri.) R. Shamshiri and H. Nahavandchi are with the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Trondheim 7491, Norway (e-mail:,roghayeh.shamshiri@ntnu.no; hossein. nahavandchi@ntnu.no).

PY - 2018/7/3

Y1 - 2018/7/3

N2 - The regular acquisition and relatively short revisit time of Sentinel-1 satellite improve the capability of a persistent scatterer interferometric synthetic aperture radar (PS-InSAR) as a suitable geodetic method of choice for measuring ground surface deformation in space and time. The SAR instrument aboard the Sentinel-1 satellite supports operation in dual polarization (HH-HV, VV-VH), which can be used to increase the spatial density of measurement points through the polarimetric optimization method. This study evaluates the improvement in displacement mapping by incorporating the information obtained from the VH channel of Sentinel-1 data into the PS-InSAR analysis. The method that has shown great success with different polarimetric data performs a search over the available polarimetric space in order to find a linear combination of polarization states, which yields the optimum PS selection criterion using the amplitude dispersion index (ADI) criterion. We applied the method to a dataset of 50 dual-polarized (VV-VH) Sentinel-1 images over Trondheim city in Norway. The results show overall increase of about 186% and 78% in the number of PS points with respect to the conventional channels of VH and VV, respectively. The study concludes that, using the ADI optimization, we can incorporate information from the VH channel into the PS-InSAR analysis, which otherwise is lost due to its low amplitude.

AB - The regular acquisition and relatively short revisit time of Sentinel-1 satellite improve the capability of a persistent scatterer interferometric synthetic aperture radar (PS-InSAR) as a suitable geodetic method of choice for measuring ground surface deformation in space and time. The SAR instrument aboard the Sentinel-1 satellite supports operation in dual polarization (HH-HV, VV-VH), which can be used to increase the spatial density of measurement points through the polarimetric optimization method. This study evaluates the improvement in displacement mapping by incorporating the information obtained from the VH channel of Sentinel-1 data into the PS-InSAR analysis. The method that has shown great success with different polarimetric data performs a search over the available polarimetric space in order to find a linear combination of polarization states, which yields the optimum PS selection criterion using the amplitude dispersion index (ADI) criterion. We applied the method to a dataset of 50 dual-polarized (VV-VH) Sentinel-1 images over Trondheim city in Norway. The results show overall increase of about 186% and 78% in the number of PS points with respect to the conventional channels of VH and VV, respectively. The study concludes that, using the ADI optimization, we can incorporate information from the VH channel into the PS-InSAR analysis, which otherwise is lost due to its low amplitude.

KW - Dual polarization

KW - optimization

KW - persistent scatterer interferometric synthetic aperture radar (PS-InSAR)

KW - sentinel-1

UR - http://www.scopus.com/inward/record.url?scp=85049451956&partnerID=8YFLogxK

U2 - 10.1109/JSTARS.2018.2848111

DO - 10.1109/JSTARS.2018.2848111

M3 - Article

AN - SCOPUS:85049451956

VL - 11

SP - 3105

EP - 3112

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SN - 1939-1404

IS - 9

M1 - 8403894

ER -