Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data
Sentinel−1 (S1) data enables effective monitoring of displacements using persistent scatterer interferometry (PSI). S1 includes VV and VH polarization channels, allowing us to apply polarimetric techniques to PSI. In short, polarimetric PSI (PolPSI) exploits the available polarization channels to en...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223004053 |
| _version_ | 1797389474149171200 |
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| author | Jiayin Luo Juan M. Lopez-Sanchez Francesco De Zan |
| author_facet | Jiayin Luo Juan M. Lopez-Sanchez Francesco De Zan |
| author_sort | Jiayin Luo |
| collection | DOAJ |
| description | Sentinel−1 (S1) data enables effective monitoring of displacements using persistent scatterer interferometry (PSI). S1 includes VV and VH polarization channels, allowing us to apply polarimetric techniques to PSI. In short, polarimetric PSI (PolPSI) exploits the available polarization channels to enhance the identification and processing of measurement points including persistent scatterers (PS) and distributed scatterers (DS). Previous works have shown the benefits of using PolPSI for PS points with S1 data, but the corresponding analysis for DS is missing.DS points are processed by finding a neighborhood of statistically homogeneous pixels (SHP) and averaging the phase within that neighborhood. In this work we show how dual-polarimetric data are stricter on the selection of the SHP group than single-polarimetric data. Thanks to the information added by the second channel, different land covers are not mixed in the SHP group. As a result, the number of points in the SHP groups is generally smaller than with VV alone, but they are more reliable. The impact of this strategy on the resulting deformation estimates is also investigated in this work, showing that the deformation areas are fully preserved and the influence of nearby pixels associated with other scene elements is avoided. |
| first_indexed | 2024-03-08T22:57:31Z |
| format | Article |
| id | doaj.art-6850569c7b5d4c1bb5c2645438617f47 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-03-08T22:57:31Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-6850569c7b5d4c1bb5c2645438617f472023-12-16T06:06:34ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-12-01125103581Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 dataJiayin Luo0Juan M. Lopez-Sanchez1Francesco De Zan2Institute for Computer Research (IUII), University of Alicante, Alicante, E-03080, SpainInstitute for Computer Research (IUII), University of Alicante, Alicante, E-03080, Spain; Corresponding author.delta phi remote sensing GmbH, Gilching, 82205, GermanySentinel−1 (S1) data enables effective monitoring of displacements using persistent scatterer interferometry (PSI). S1 includes VV and VH polarization channels, allowing us to apply polarimetric techniques to PSI. In short, polarimetric PSI (PolPSI) exploits the available polarization channels to enhance the identification and processing of measurement points including persistent scatterers (PS) and distributed scatterers (DS). Previous works have shown the benefits of using PolPSI for PS points with S1 data, but the corresponding analysis for DS is missing.DS points are processed by finding a neighborhood of statistically homogeneous pixels (SHP) and averaging the phase within that neighborhood. In this work we show how dual-polarimetric data are stricter on the selection of the SHP group than single-polarimetric data. Thanks to the information added by the second channel, different land covers are not mixed in the SHP group. As a result, the number of points in the SHP groups is generally smaller than with VV alone, but they are more reliable. The impact of this strategy on the resulting deformation estimates is also investigated in this work, showing that the deformation areas are fully preserved and the influence of nearby pixels associated with other scene elements is avoided.http://www.sciencedirect.com/science/article/pii/S1569843223004053Sentinel−1PolarimetryInterferometryDistributed scattererDeformation |
| spellingShingle | Jiayin Luo Juan M. Lopez-Sanchez Francesco De Zan Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data International Journal of Applied Earth Observations and Geoinformation Sentinel−1 Polarimetry Interferometry Distributed scatterer Deformation |
| title | Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data |
| title_full | Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data |
| title_fullStr | Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data |
| title_full_unstemmed | Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data |
| title_short | Analysis of the performance of polarimetric PSI over distributed scatterers with Sentinel-1 data |
| title_sort | analysis of the performance of polarimetric psi over distributed scatterers with sentinel 1 data |
| topic | Sentinel−1 Polarimetry Interferometry Distributed scatterer Deformation |
| url | http://www.sciencedirect.com/science/article/pii/S1569843223004053 |
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