The Influence of Parameter Estimation Bounds on Velocity Estimation in PSInSAR

被引:0
作者
Balz, Timo [1 ]
Ewais, Mostafa [1 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
PSInSAR; parameter sensitivity; InSAR processing; temporal coherence; reproducibility; TIME-SERIES; PERMANENT SCATTERERS; SAR; SUBSIDENCE; INTERFEROMETRY; TUTORIAL;
D O I
10.3390/rs17050788
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Permanent scatterer interferometric synthetic aperture radar (PSInSAR) processing requires parameter selection that can significantly impact results, yet these parameters are often not fully disclosed in scientific publications. To demonstrate how different parameter settings in PSInSAR processing affect results, our study analyzed PSInSAR processing results using varying parameters. Results were evaluated both with and without temporal coherence filtering (threshold >= 0.8). Parameter variations produced differences that exceeded previously stated accuracy ranges for PSInSAR methods, while overall deformation trends remained similar across parameter sets. This shows that even seemingly minor parameter variations can lead to significant differences in PSInSAR results, exceeding what would be considered acceptable with respect to previously published accuracies. These findings emphasize the need for complete parameter disclosure in scientific publications and suggest more careful interpretation of small velocity differences in PSInSAR results.
引用
收藏
页数:17
相关论文
共 20 条
[1]   Practical persistent scatterer processing validation in the course of the Terrafirma project [J].
Adam, Nico ;
Parizzi, Alessandro ;
Eineder, Michael ;
Crosetto, Michele .
JOURNAL OF APPLIED GEOPHYSICS, 2009, 69 (01) :59-65
[2]   Non-Linear PSInSAR Analysis of Deformation Patterns in Islamabad/Rawalpindi Region: Unveiling Tectonics and Earthquake-Driven Changes [J].
Afzal, Zeeshan ;
Balz, Timo ;
Asghar, Aamir .
REMOTE SENSING, 2024, 16 (07)
[3]   A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms [J].
Berardino, P ;
Fornaro, G ;
Lanari, R ;
Sansosti, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11) :2375-2383
[4]   Persistent Scatterer Pair Interferometry: Approach and Application to COSMO-SkyMed SAR Data [J].
Costantini, Mario ;
Falco, Salvatore ;
Malvarosa, Fabio ;
Minati, Federico ;
Trillo, Francesco ;
Vecchioli, Francesco .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (07) :2869-2879
[5]   Persistent Scatterer Interferometry: A review [J].
Crosetto, Michele ;
Monserrat, Oriol ;
Cuevas-Gonzalez, Maria ;
Devanthery, Nuria ;
Crippa, Bruno .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 115 :78-89
[6]   Permanent scatterers in SAR interferometry [J].
Ferretti, A ;
Prati, C ;
Rocca, F .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (01) :8-20
[7]   Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry [J].
Ferretti, A ;
Prati, C ;
Rocca, F .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (05) :2202-2212
[8]   A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR [J].
Ferretti, Alessandro ;
Fumagalli, Alfio ;
Novali, Fabrizio ;
Prati, Claudio ;
Rocca, Fabio ;
Rucci, Alessio .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (09) :3460-3470
[9]   A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers [J].
Hooper, A ;
Zebker, H ;
Segall, P ;
Kampes, B .
GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (23) :1-5
[10]   Land Subsidence in Wuhan Revealed Using a Non-Linear PSInSAR Approach with Long Time Series of COSMO-SkyMed SAR Data [J].
Jiang, Haonan ;
Balz, Timo ;
Cigna, Francesca ;
Tapete, Deodato .
REMOTE SENSING, 2021, 13 (07)