Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15871
Title: Hybrid approach for unbiased coherence estimation for multitemporal InSAR
Authors: Jiang, M
Ding, X 
Li, Z
Keywords: Adaptive hypothesis test
Bootstrap
Coherence estimation
Fringe rate estimation
Interferometric synthetic aperture radar (InSAR)
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on geoscience and remote sensing, 2014, v. 52, no. 5, 6557041, p. 2459-2473 How to cite?
Journal: IEEE transactions on geoscience and remote sensing 
Abstract: The coherence of radar echoes is a fundamental observable in interferometric synthetic aperture radar (InSAR) measurements. It provides a quantitative measure of the scattering properties of imaged surfaces and therefore is widely applied to study the physical processes of the Earth. However, unfortunately, the estimated coherence values are often biased due to various reasons such as radar signal nonstationarity and the bias in the estimators used. In this paper, we focus on multitemporal InSAR coherence estimation and present a hybrid approach that mitigates effectively the errors in the estimation. The proposed approach is almost completely self-adaptive and workable for both Gaussian and non-Gaussian SAR scenes. Moreover, the bias of the sample coherence can be mitigated with even only several samples included for a given pixel. Therefore, it is a more pragmatic method for accurate coherence estimation and can be applied actually. Different data sets are used to test the proposed method and demonstrate its advantages.
URI: http://hdl.handle.net/10397/15871
ISSN: 0196-2892
EISSN: 1558-0644
DOI: 10.1109/TGRS.2013.2261996
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