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由偏振纯度指数(IPPs)指示的不同反射界面的去极化特性

Depolarization Characteristics of Different Reflective Interfaces Indicated by Indices of Polarimetric Purity (IPPs).

作者信息

Li Dekui, Guo Kai, Sun Yongxuan, Bi Xiang, Gao Jun, Guo Zhongyi

机构信息

School of Computer and Information, Hefei University of Technology, Hefei 230009, China.

出版信息

Sensors (Basel). 2021 Feb 9;21(4):1221. doi: 10.3390/s21041221.

DOI:10.3390/s21041221
PMID:33572309
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7916138/
Abstract

Compared with the standard depolarization index, indices of polarimetric purity (IPPs) have better performances to describe depolarization characteristics of targets with different roughnesses of interfaces under different incident angles, which allow us a further analysis of the depolarizing properties of samples. Here, we use IPPs obtained from different reflective interfaces as a criterion of depolarization property to characterize and classify targets covered by organic paint layers with different roughness. We select point-light source as radiation source with wavelength as 632.8 nm, and four samples, including Cu, Au, Al and AlO, covered by an organic paint layer with refractive index of n = 1.46 and Gaussian roughness of α = 0.05~0.25. Under different incident angles, the values of , , at divided 90 × 360 grid points and their mean values in upper hemisphere have been obtained and discussed in the IPPs space. The results show that the depolarization performances of the different reflective interfaces (materials, incident angles and surface roughness) are unique in IPPs space, providing us with a new avenue to analyze and characterize different targets.

摘要

与标准去极化指数相比,极化纯度指数(IPPs)在描述不同入射角下具有不同界面粗糙度的目标的去极化特性方面表现更优,这使我们能够进一步分析样品的去极化特性。在此,我们将从不同反射界面获得的IPPs用作去极化特性的判据,以表征和分类覆盖有不同粗糙度有机漆层的目标。我们选择波长为632.8 nm的点光源作为辐射源,并选取四个样品,包括覆盖有折射率n = 1.46且高斯粗糙度α = 0.05~0.25的有机漆层的Cu、Au、Al和AlO。在不同入射角下,已获取了在90×360网格点处的 、 、 值及其在上半球的平均值,并在IPPs空间中进行了讨论。结果表明,不同反射界面(材料、入射角和表面粗糙度)的去极化性能在IPPs空间中是独特的,为我们分析和表征不同目标提供了一条新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/e838b995315c/sensors-21-01221-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/a7e32e9b8e07/sensors-21-01221-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/c3a248d7ac70/sensors-21-01221-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/50a9be9f65a1/sensors-21-01221-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/69fefd729670/sensors-21-01221-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/9d78a9be6c15/sensors-21-01221-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/f9cbe91ac4a9/sensors-21-01221-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/f7e230d16fe5/sensors-21-01221-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/e838b995315c/sensors-21-01221-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/a7e32e9b8e07/sensors-21-01221-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/c3a248d7ac70/sensors-21-01221-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/50a9be9f65a1/sensors-21-01221-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/69fefd729670/sensors-21-01221-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/9d78a9be6c15/sensors-21-01221-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/f9cbe91ac4a9/sensors-21-01221-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/f7e230d16fe5/sensors-21-01221-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4d/7916138/e838b995315c/sensors-21-01221-g008.jpg

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