Combination of Persistent Scatterer Interferometry and Single-Baseline Polarimetric Coherence Optimisation to Estimate Deformation Rates with Application to Tehran Basin

Zahra Sadeghi1,2, Mohammad Javad Valadan Zoej1, Jan-Peter Muller2
1Remote Sensing and Photogrammetry Group, Faculty of Geomatics and Geodesy, K.N.Toosi University of Technology, Tehran, Iran
2Imaging Group, Mullard Space and Science Laboratory, University College London, Holmbury St Mary, UK

Tóm tắt

This study reports on the monitoring of land subsidence in a rural area located in the southwest of the Tehran basin, Iran, by combining a persistent scatterer interferometry (PSI) method with a single-baseline polarimetric coherence optimisation. Owing to vegetation coverage in this rural area, coherence level experiences a decline and the performance and coverage of conventional interferometry to estimate deformation rate reduces concomitantly. Since the launch of satellites with polarimetric information, the polarimetric InSAR (PolInSAR) technique, which is vector interferometry with different polarimetric channels, has been introduced to optimise the coherence level. One of the most common criteria to select PS pixels is coherence and maximising the coherence can lead to an increased number of selected PS pixels and enhanced PSI performance. The single-baseline polarimetric coherence optimisation method assumes equal polarisation states at the end of each baseline. In order to apply this technique in our study, two different multi-look windows for coherence calculation and also two TerraSAR-X data sets with different numbers of images are used to assess their effect on the polarimetric PSI. Combination of the single-baseline coherence optimisation method with PSI shows significant improvements (more than 50%) in terms of the number of selected PS pixels in the case study even using a data set with a small number of images. A 15 $$\times $$ 15 multi-look window selects a greater number of PS pixels compared to a $$9 \times 9$$ multi-look window, although this entails reducing spatial resolution. The most effective PSI approach in terms of the density of the selected PS turned out to be polarimetric PSI using a data set with a large number of images and a selection of a 15 $$\times $$ 15 multi-look window. Validation of the PSI methods using a large number of images with $$9 \times 9$$ and 15 $$\times $$ 15 multi-look windows via levelling measurements confirms the accuracy and reliability of the results obtained.

Tài liệu tham khảo

Cloude SR, Papathanassious P (1998) Polarimetric SAR interferometry. IEEE Trans Geosci Rem Sens 36(5):1551–1565. https://doi.org/10.1109/36.718859

Colesanti C, Ferretti A, Novali F, Prati C, Rocca F (2003) Monitoring landslides and tectonic motions with the permanent scatterers technique. Eng Geol 68:3–14. https://doi.org/10.1016/S0013-7952(02)00195-3

Colin E, Titin-Schnaider C, Tabbara W (2006) An interferometric coherence optimisation method in radar polarimetry for high-resolution imagery. IEEE Trans Geosci Rem Sens 44(1):167–175. https://doi.org/10.1109/TGRS.2005.859357

Colin E, Titin-Schnaider C, Tabbara W (2003) Investigation on different IFPOL coherence optimisation methods. In: Presented at the POLINSAR. ESRIN-ESA, Frascati, Italy

Ferretti A, Prati C, Rocca F (2000) Permanent scatterers in differential SAR interferometry. IEEE Trans Geosci Rem Sens 38(5):2202–2212

Ferretti A, Prati C, Rocca F (2001) Permanent scatterers in SAR interferometry. IEEE Trans Geosci Rem Sens 39(1):8–20. https://doi.org/10.1109/36.898661

Hooper A, Segall P, Zebker H (2007) Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis with application to Vacan Alcedo. J Geophys Res 112. https://doi.org/10.1029/2006JB004763B07407

Iglesias R, Monells D, Fabregas X, Mallorqui JJ, Aguasca A, Lopez-martinez C (2014) Phase quality optimisation polarimetry differential SAR interferometry. IEEE Trans Geosci Rem Sens 52(5):2875–2888. https://doi.org/10.1109/TGRS.2013.2267095

Lyons S, Sandwell D (2003) Fault creep along the southern San Andreas from interferometric synthetic aperture radar. J Geophys Res 108(B1):2047–2070

Neumann M, Ferro-Famil L, Reigber A (2008) Multibaseline polarimetric SAR Interferometry coherence optimisation. IEEE Geosci Rem Sens Lett 5(1):93–97. https://doi.org/10.1109/TGRS.2005.859357

Sadeghi Z, Valadan ZOEJMJ, Dehghani M (2013) An improved persistent scatterer interferometry for subsidence monitoring in the Tehran basin. IEEE J Select Top Appl Earth Obs Rem Sens 6(3):1571–1577. https://doi.org/10.1109/JSTARS.2013.2259221

Sadeghi Z, Valadan ZOEJMJ, DEHGHANI M, (2012) Enhanced algorithm based on persistent scatterer interferometry for the estimation of high-rate land subsidence. J Appl Rem Sens 6(1). https://doi.org/10.1117/1.JRS.6.063573

Sadeghi Z, Valadan ZOEJMJ, Muller JP (2017) Monitoring land subsidence in a rural area using a combination of ADInSAR and polarimetric coherence optimisation. IEEE J Select Top Appl Earth Obs Rem Sens 99:1–9. https://doi.org/10.1109/JSTARS.2017.2689823

TABB M, ORREY J, FLYNN,T, CARANDE R (2002) Phase diversity: a decomposition for vegetation parameter estimation using polarimetric SAR interferometry. In: Presented at EUSAR, cologne, Germany

Touzi R, Lopes A, Bruniquel J, Vachon WP (1999) Coherence estimation for SAR imagery. IEEE Trans Geosci Rem Sens 37(1):135–148. https://doi.org/10.1109/36.739146