A Phase Optimization Method for DS-InSAR Based on SKP Decomposition from Quad-Polarized Data
发布时间：2022-02-17
点击次数：
影响因子：3.966
DOI码：10.1109/LGRS.2021.3050675
发表刊物：IEEE Geoscience and Remote Sensing Letters
关键字：Covariance matrices；Scattering; Coherence; Radar Polarimetry; Decorrelation; Matrix Decomposition; Radar scattering; Distributed Scatterer Interferometric Synthetic Aperture Radar (DS-InSAR); Quad-polarization; Sum of Kronecker Product (SKP) Decomposition.
摘要：A novel distributed scatterer interferometric synthetic aperture radar (DS-InSAR) method is presented in which the sum of Kronecker product (SKP) decomposition method is applied to DS candidates. Unlike existing polarimetric optimization methods, the proposed method considers polarimetric and interferometric coherence information simultaneously, resulting in separation of the polarimetric scattering process for each target and the maximum diversity for the corresponding phase center locations. Physical reliability of the phase optimization solution is thereby ensured. The performance of the novel method is evaluated using 30 quad-polarized C-band Radarsat-2 synthetic aperture radar (SAR) images over Kilauea Volcano, Hawaii. The proposed method provides a higher density of measurement scatterer (MS) points and a higher quality of DS interferometric phase with a temporally stable phase center than single-polarization (HH) method and quad-polarization exhaustive search polarimetric optimization (ESPO) method. Thus, the proposed method shows good performance in phase quality improvement and point density increasement.
论文类型：期刊论文
论文编号：4008805
卷号：19
是否译文：否
发表时间：2021-01-20
发布期刊链接：https://ieeexplore.ieee.org/document/9328820
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