PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images
Prior to the application of any persistent scatterer interferometry (PSI) technique for the monitoring of terrain displacement phenomena, an adequate pixel selection must be carried out in order to prevent the inclusion of noisy pixels in the processing. The rationale is to detect the so-called pers...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-01-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/7/1/530 |
| _version_ | 1819001698289451008 |
|---|---|
| author | Rubén Iglesias Jordi J. Mallorqui Dani Monells Carlos López-Martínez Xavier Fabregas Albert Aguasca Josep A. Gili Jordi Corominas |
| author_facet | Rubén Iglesias Jordi J. Mallorqui Dani Monells Carlos López-Martínez Xavier Fabregas Albert Aguasca Josep A. Gili Jordi Corominas |
| author_sort | Rubén Iglesias |
| collection | DOAJ |
| description | Prior to the application of any persistent scatterer interferometry (PSI) technique for the monitoring of terrain displacement phenomena, an adequate pixel selection must be carried out in order to prevent the inclusion of noisy pixels in the processing. The rationale is to detect the so-called persistent scatterers, which are characterized by preserving their phase quality along the multi-temporal set of synthetic aperture radar (SAR) images available. Two criteria are mainly available for the estimation of pixels’ phase quality, i.e., the coherence stability and the amplitude dispersion or permanent scatterers (PS) approach. The coherence stability method allows an accurate estimation of the phase statistics, even when a reduced number of SAR acquisitions is available. Unfortunately, it requires the multi-looking of data during the coherence estimation, leading to a spatial resolution loss in the final results. In contrast, the PS approach works at full-resolution, but it demands a larger number of SAR images to be reliable, typically more than 20. There is hence a clear limitation when a full-resolution PSI processing is to be carried out and the number of acquisitions available is small. In this context, a novel pixel selection method based on exploiting the spectral properties of point-like scatterers, referred to as temporal sublook coherence (TSC), has been recently proposed. This paper seeks to demonstrate the advantages of employing PSI techniques by means of TSC on both orbital and ground-based SAR (GB-SAR) data when the number of images available is small (10 images in the work presented). The displacement maps retrieved through the proposed technique are compared, in terms of pixel density and phase quality, with traditional criteria. Two X-band datasets composed of 10 sliding spotlight TerraSAR-X images and 10 GB-SAR images, respectively, over the landslide of El Forn de Canillo (Andorran Pyrenees), are employed for this study. For both datasets, the TSC technique has showed an excellent performance compared with traditional techniques, achieving up to a four-fold increase in the number of persistent scatters detected, compared with the coherence stability approach, and a similar density compared with the PS approach, but free of outliers. |
| first_indexed | 2024-12-20T22:53:21Z |
| format | Article |
| id | doaj.art-cf9b43c994504954af6d1cc2cf935dc3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T22:53:21Z |
| publishDate | 2015-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-cf9b43c994504954af6d1cc2cf935dc32022-12-21T19:24:11ZengMDPI AGRemote Sensing2072-42922015-01-017153056310.3390/rs70100530rs70100530PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR ImagesRubén Iglesias0Jordi J. Mallorqui1Dani Monells2Carlos López-Martínez3Xavier Fabregas4Albert Aguasca5Josep A. Gili6Jordi Corominas7Department of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D3), 08034 Barcelona, SpainDepartment of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D3), 08034 Barcelona, SpainDepartment of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D3), 08034 Barcelona, SpainDepartment of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D3), 08034 Barcelona, SpainDepartment of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D3), 08034 Barcelona, SpainDepartment of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D3), 08034 Barcelona, SpainDepartment of Geotechnical Engineering and Geosciences, Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D2), 08034 Barcelona, SpainDepartment of Geotechnical Engineering and Geosciences, Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3 (D2), 08034 Barcelona, SpainPrior to the application of any persistent scatterer interferometry (PSI) technique for the monitoring of terrain displacement phenomena, an adequate pixel selection must be carried out in order to prevent the inclusion of noisy pixels in the processing. The rationale is to detect the so-called persistent scatterers, which are characterized by preserving their phase quality along the multi-temporal set of synthetic aperture radar (SAR) images available. Two criteria are mainly available for the estimation of pixels’ phase quality, i.e., the coherence stability and the amplitude dispersion or permanent scatterers (PS) approach. The coherence stability method allows an accurate estimation of the phase statistics, even when a reduced number of SAR acquisitions is available. Unfortunately, it requires the multi-looking of data during the coherence estimation, leading to a spatial resolution loss in the final results. In contrast, the PS approach works at full-resolution, but it demands a larger number of SAR images to be reliable, typically more than 20. There is hence a clear limitation when a full-resolution PSI processing is to be carried out and the number of acquisitions available is small. In this context, a novel pixel selection method based on exploiting the spectral properties of point-like scatterers, referred to as temporal sublook coherence (TSC), has been recently proposed. This paper seeks to demonstrate the advantages of employing PSI techniques by means of TSC on both orbital and ground-based SAR (GB-SAR) data when the number of images available is small (10 images in the work presented). The displacement maps retrieved through the proposed technique are compared, in terms of pixel density and phase quality, with traditional criteria. Two X-band datasets composed of 10 sliding spotlight TerraSAR-X images and 10 GB-SAR images, respectively, over the landslide of El Forn de Canillo (Andorran Pyrenees), are employed for this study. For both datasets, the TSC technique has showed an excellent performance compared with traditional techniques, achieving up to a four-fold increase in the number of persistent scatters detected, compared with the coherence stability approach, and a similar density compared with the PS approach, but free of outliers.http://www.mdpi.com/2072-4292/7/1/530synthetic aperture radar (SAR)differential SAR interferometry (DInSAR)persistent scatterer interferometry (PSI)temporal sublook coherence (TSC)ground-based SAR (GB-SAR)spotlightpersistent scatterer |
| spellingShingle | Rubén Iglesias Jordi J. Mallorqui Dani Monells Carlos López-Martínez Xavier Fabregas Albert Aguasca Josep A. Gili Jordi Corominas PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images Remote Sensing synthetic aperture radar (SAR) differential SAR interferometry (DInSAR) persistent scatterer interferometry (PSI) temporal sublook coherence (TSC) ground-based SAR (GB-SAR) spotlight persistent scatterer |
| title | PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images |
| title_full | PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images |
| title_fullStr | PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images |
| title_full_unstemmed | PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images |
| title_short | PSI Deformation Map Retrieval by Means of Temporal Sublook Coherence on Reduced Sets of SAR Images |
| title_sort | psi deformation map retrieval by means of temporal sublook coherence on reduced sets of sar images |
| topic | synthetic aperture radar (SAR) differential SAR interferometry (DInSAR) persistent scatterer interferometry (PSI) temporal sublook coherence (TSC) ground-based SAR (GB-SAR) spotlight persistent scatterer |
| url | http://www.mdpi.com/2072-4292/7/1/530 |
| work_keys_str_mv | AT rubeniglesias psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT jordijmallorqui psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT danimonells psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT carloslopezmartinez psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT xavierfabregas psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT albertaguasca psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT josepagili psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages AT jordicorominas psideformationmapretrievalbymeansoftemporalsublookcoherenceonreducedsetsofsarimages |