Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11212
Title: A novel multitemporal insar model for joint estimation of deformation rates and orbital errors
Authors: Zhang, L 
Ding, X 
Lu, Z
Jung, HS
Hu, J
Feng, G
Keywords: Interferometric synthetic aperture radar (SAR) (InSAR)
Least squares
Orbital error
SAR
Sparse matrix
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on geoscience and remote sensing, 2014, v. 52, no. 6, 6656824, p. 3529-3540 How to cite?
Journal: IEEE transactions on geoscience and remote sensing 
Abstract: Orbital errors, characterized typically as longwavelength artifacts, commonly exist in interferometric synthetic aperture radar (InSAR) imagery as a result of inaccurate determination of the sensor state vector. Orbital errors degrade the precision of multitemporal InSAR products (i.e., ground deformation). Although research on orbital error reduction has been ongoing for nearly two decades and several algorithms for reducing the effect of the errors are already in existence, the errors cannot always be corrected efficiently and reliably. We propose a novel model that is able to jointly estimate deformation rates and orbital errors based on the different spatialoral characteristics of the two types of signals. The proposed model is able to isolate a long-wavelength ground motion signal from the orbital error even when the two types of signals exhibit similar spatial patterns. The proposed algorithm is efficient and requires no ground control points. In addition, the method is built upon wrapped phases of interferograms, eliminating the need of phase unwrapping. The performance of the proposed model is validated using both simulated and real data sets. The demo codes of the proposed model are also provided for reference.
URI: http://hdl.handle.net/10397/11212
ISSN: 0196-2892
EISSN: 1558-0644
DOI: 10.1109/TGRS.2013.2273374
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

20
Last Week
0
Last month
0
Citations as of Aug 17, 2017

WEB OF SCIENCETM
Citations

18
Last Week
0
Last month
1
Citations as of Aug 23, 2017

Page view(s)

48
Last Week
2
Last month
Checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.