Next Article in Journal
Suppressing Paired Echoes Caused by Stair-Step Antenna Steering in TOPS SAR Imaging
Previous Article in Journal
Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle
Open AccessArticle

Tropospheric Delay Correction Based on a Three-Dimensional Joint Model for InSAR

by Huaping Xu 1, Yao Luo 1, Bo Yang 1,*, Zhaohong Li 1 and Wei Liu 2
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(21), 2542;
Received: 26 August 2019 / Revised: 15 October 2019 / Accepted: 26 October 2019 / Published: 29 October 2019
(This article belongs to the Section Atmosphere Remote Sensing)
Tropospheric delays in spaceborne Interferometric Synthetic Aperture Radar (InSAR) can contaminate the measurement of small amplitude earth surface deformation. In this paper, a novel TXY-correlated method is proposed, where the main tropospheric delay components are jointly modeled in three dimensions, and then the long-scale and topography-correlated tropospheric delay components are corrected simultaneously. Moreover, the strategies of scale filtering and alternative iteration are employed to accurately retrieve all components of the joint model. Both the TXY-correlated method and the conventional phase-based methods are tested with a total of 25 TerraSAR-X/TanDEM-X images collected over the Chaobai River site and the Renhe Town of Beijing Shunyi District, where natural scenes and man-made targets are contained. A higher correction rate of tropospheric delays and a greater reduction in spatio-temporal standard deviations of time series displacement are observed after delay correction by the TXY-correlated method in both non-urban and urban areas, which demonstrate the superior performance of the proposed method. View Full-Text
Keywords: InSAR; tropospheric delays; phase-based; joint model; alternate iteration InSAR; tropospheric delays; phase-based; joint model; alternate iteration
Show Figures

Graphical abstract

MDPI and ACS Style

Xu, H.; Luo, Y.; Yang, B.; Li, Z.; Liu, W. Tropospheric Delay Correction Based on a Three-Dimensional Joint Model for InSAR. Remote Sens. 2019, 11, 2542.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop