A Variance-Covariance method to estimating the errors of 3-D ground displacement time-series using small baseline InSAR algorithms and multi-platform SAR data-Reference-Cited by-同舟云学术

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A Variance-Covariance method to estimating the errors of 3-D ground displacement time-series using small baseline InSAR algorithms and multi-platform SAR data

Published:2024-05 Issue: Volume:211 Page:208-227
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Falabella Francesco^ORCID,Pepe Antonio^ORCID,Perrone Angela,Stabile Tony Alfredo

Funder

Ministero dell'Istruzione dell'Università e della Ricerca

Publisher

Elsevier BV

Reference138 articles.

1. A noise model for InSAR time series;Agram;J. Geophys. Res. Solid Earth,2015

2. IV.—On least Squares and Linear combination of observations;Aitken;Proc. r. Soc. Edinb.,1936

3. Improved ground subsidence monitoring using small baseline SAR interferograms and a weighted least Squares inversion algorithm;Akbari;IEEE Geosci. Remote Sens. Lett.,2012

4. Efficient phase estimation for interferogram stacks;Ansari;IEEE Trans. Geosci. Remote Sens.,2018

5. Study of systematic bias in measuring surface deformation with SAR interferometry;Ansari;IEEE Trans. Geosci. Remote Sens.,2021

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