PolInSAR Complex Coherence Nonlocal Estimation Using Shape-Adaptive Patches Matching and Trace-Moment-Based NLRB Estimator
发布时间：2024-06-24
点击次数：
DOI码：10.1109/TGRS.2020.2991837
发表刊物：IEEE Transactions on Geoscience and Remote Sensing
关键字：Complex coherence estimation, equivalent number of looks (ENL), nonlocal means (NLM), nonlocal reduced bias (NLRB) estimator, polarimetric synthetic aperture interferometry (PolInSAR), shape-adaptive (SA) patches matching
摘要：The traditional nonlocal estimations have been demonstrated to be effective and widely used in polarimetric synthetic aperture radar interferometry (PolInSAR) data. However, there still exist some problems about two key steps: 1) in the homogeneous pixels selection step, the regular square (RS) patches matching strategy shows the limited performance in textured area and 2) in the central pixel value estimation from the selected pixels, the well-known Lee estimator, which only uses the intensity statistic, tends to be unstable. To overcome these restrictions, we put forward two robust strategies and then propose an improved PolInSAR complex coherence nonlocal estimation: 1) the shape-adaptive (SA) patch is utilized for flexibly matching the similar pixels in a large search window, which is constructed by combining the likelihood ratio test (LRT) and the region growing (RG) algorithm and 2) the trace-moment-based nonlocal reduced bias (TMB-NLRB) estimator is employed, which considers the interchannel correlations and evaluates more accurately the homogeneity level between the selected pixels. The denoising effect of both strategies is quantitatively analyzed on the simulated data set, and the proposed algorithm is compared with classical estimation algorithms on a TerraSAR-X/TanDEM-X PolInSAR data set. These experimental results show that the proposed method provides better performance in speckle reduction, detail preservation, and complex coherence estimation.
合写作者：Luo Xingjun, 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：59
期号：1
页面范围：260-272
是否译文：否
发表时间：2020-05-19
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.whu.edu.cn/document/9096581