Hybrid Approach for Unbiased Coherence Estimation for Multitemporal InSAR
Hybrid Approach for Unbiased Coherence Estimation for Multitemporal InSAR
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DOI：
10.1109/tgrs.2013.2261996
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发表时间：
2014-05
影响因子：
8.2
通讯作者：
M. Jiang;X. Ding;Zhi‐wei Li
中科院分区：
文献类型：
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作者：
M. Jiang;X. Ding;Zhi‐wei Li
雷达回波的相干性是干涉合成孔径雷达 (InSAR) 测量中的一个基本可观测值。它提供了成像表面散射特性的定量测量，因此被广泛应用于研究地球的物理过程。然而，不幸的是，由于雷达信号的非平稳性和所使用的估计器的偏差等各种原因，估计的相干值常常存在偏差。在本文中，我们重点关注多时相 InSAR 相干性估计，并提出了一种有效减轻估计误差的混合方法。所提出的方法几乎完全自适应，并且适用于高斯和非高斯 SAR 场景。此外，即使给定像素仅包含几个样本，也可以减轻样本相干性的偏差。因此，它是一种更为实用的精确相干性估计方法，可以实际应用。使用不同的数据集来测试所提出的方法并展示其优势。
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.