Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1017661
Title: Comparative analysis of MT-InSAR algorithms supported by GNSS data and corner reflectors: Assessing performance and accuracy
Authors: Diaz, A.
Roque, D.
Solla, M.
Lima, J. N.
Keywords: PSI;QPS;GNSS;Accuracy;Corner reflector
Issue Date: 2024
Publisher: Elsevier
Citation: Alonso-Díaz, A., Roque, D., Solla, M., Lima, J. N. (2024). Comparative analysis of MT-InSAR algorithms supported by GNSS data and corner reflectors: Assessing performance and accuracy. Procedia Computer Science, Vol. 239, pp. 1460-1466. doi: 10.1016/j.procs.2024.06.319.
Abstract: This paper presents a comparative analysis of Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) algorithms in a corner reflector located in Lisbon, Portugal. The reflector was monitored using daily observations from the Global Navigation Satellite System (GNSS) technique with submillimeter precision. The study focuses on comparing the performance and accuracy of different MT-InSAR approaches i) the Persistent Scatterer Interferometry (PSI) method using the open-source software StaMPS, ii) the PSI method using the commercial software SARPROZ, iii) the Quasi-PS method implemented with the SARPROZ software, as well as iv) a hybrid method Persistent scatterer – Distributed Scatterer (PS-DS) obtained from the European Ground Motion Service (EGMS) with SqueeSAR algorithm. The study period assumed was from October 2017 to January 2019, by considering the same initial information (ascending orbit Sentinel images). Statistical analysis of the time series was also performed, and the density of points in the vicinity was evaluated. To provide a comprehensive evaluation of accuracy, the uncertainties associated with both the GNSS and InSAR techniques were assessed. The findings of this comparative analysis offer valuable insights into the strengths and limitations of various MT-InSAR algorithms by using a more precise technique as a benchmark. The results improve the understanding of deformation monitoring in geodetic applications and highlight the potential for enhanced accuracy in such assessments.
URI: http://dspace2.lnec.pt:8080/jspui/handle/123456789/1017661
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1017661
Appears in Collections:DBB/NGA - Comunicações a congressos e artigos de revista

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