Interferometric Phase Optimization Based on PolInSAR Total Power Coherency Matrix Construction and Joint Polarization-Space Nonlocal Estimation
发布时间：2024-06-24
点击次数：
DOI码：10.1109/TGRS.2021.3053278
发表刊物：IEEE Transactions on Geoscience and Remote Sensing
关键字：Interferometric synthetic aperture radar (InSAR), polarimetry, coherence optimization, coherence estimation, total power (TP) coherency matrix, nonlocal means (NLM)
摘要：Interferometric phase optimization is important key processing for ensuring the application performance of interferometric synthetic aperture radar (InSAR) technology. The noise’s standard deviation depends on the number of looks and the coherence magnitude. Usually, the coherence estimation uses statistical averaging with spatial samples to reduce the speckle noise in interferometric phase images. It has been demonstrated that polarization plays a significant role in the variation of interferometric complex coherence. Currently, InSAR technology utilizes polarimetric information to develop the coherence optimization theory for improving the phase quality. However, the observed coherence region in the complex unitary circle is usually biased from the free-noise one due to the finite multilooking effect and the practical scene heterogeneity, which makes the coherence optimization unstable. In contrast, based on the coherence estimation theory, this article proposes taking polarimetric information as the statistical samples for constructing polarimetric InSAR (PolInSAR) total power (TP) coherency matrix and performs a joint polarization-space nonlocal estimation. Simulated and real experimental results demonstrate that the proposed method improves the performance of the interferometric phase optimization in these three aspects compared with traditional coherence optimization, including phase quality improvement, the number of high coherent points, and computational efficiency.
合写作者：Hu Jun, Fu Haiqiang, Zhu Jianjun
论文类型：期刊论文
通讯作者：Wang Changcheng
学科门类：工学
文献类型：J
卷号：60
页面范围：1-14
是否译文：否
发表时间：2021-02-02
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.whu.edu.cn/document/9345357