Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15868
Title: Three-dimensional surface displacements from insar and GPS measurements with variance component estimation
Authors: Hu, J
Li, ZW
Sun, Q
Zhu, JJ
Ding, XL 
Keywords: 3-D surface displacements
Global positioning system (GPS)
Interferometric synthetic aperture radar (InSAR)
Variance component estimation (VCE)
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE geoscience and remote sensing letters, 2012, v. 9, no. 4, 6151024, p. 754-758 How to cite?
Journal: IEEE geoscience and remote sensing letters 
Abstract: Previous approaches that integrate interferometric synthetic aperture radar (InSAR) and GPS measurements for 3-D surface displacement mapping require statistically estimating the variances of the measurements to yield optimal results. We present a variance component estimation approach to weigh the InSAR and GPS measurements in deriving 3-D surface displacements. The approach exploits the observations themselves for determining the weighting scheme, and therefore the a priori information on the stochastic model of the observations is not required. This is of great importance as accurate knowledge on the stochastic model is often unavailable. The performance of the proposed method is validated with both simulated and real datasets.
URI: http://hdl.handle.net/10397/15868
ISSN: 1545-598X
DOI: 10.1109/LGRS.2011.2181154
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