Evaluation of Multilooking Size on Single-Baseline PolInSAR Forest Height Inversion

DOI码：10.3390/f13071031

发表刊物：Forests

关键字：random volume over ground (RVoG); complex unitary circle (CUC); coherence region; estimation bias; finite multilooking effect

摘要：In polarimetric interferometric SAR (PolInSAR) technology, the random volume over ground (RVoG) model establishes the mapping relationship between polarimetric complex coherence and forest biophysical parameters (e.g., forest height). However, due to speckle noise and the finite multilooking effect, the real observed coherence region in the complex unitary circle (CUC) is an ellipse, which is biased by the ideal noise-free coherence region represented as a straight line by the RVoG model. Multilooking processing can reduce speckle noise at the cost of resolution loss. Therefore, this paper analyzes the influence of different multilooking sizes on forest height inversion. Experimental results show that the accuracy of forest height inversion first increases and then decreases with the increase in multilooking size, which means there exists an optimal size for PolInSAR forest estimation. From statistical analysis of the forest height estimation error, inversion accuracy mainly depends on estimation bias rather than estimation variance. This is mainly because, in a homogeneous forest area, a large multilooking size helps to reduce the statistical bias effect; in the textured area, the inversion accuracy benefits from a small multilooking size for avoiding the mixing of multiple types of ground targets.

合写作者：Hu Chihao

论文类型：期刊论文

通讯作者：Shen Peng

学科门类：工学

文献类型：J

卷号：13

期号：7

页面范围：1031

是否译文：否

发表时间：2022-06-30

收录刊物：SCI

发布期刊链接：https://www.mdpi.com/1999-4907/13/7/1031