Spectral reflectance fitting based on land-based hyperspectral imaging and semi-empirical kernel-driven model for typical camouflage materials

IF 1.9 4区 物理与天体物理 Q3 OPTICS
Jiale Zhao
{"title":"Spectral reflectance fitting based on land-based hyperspectral imaging and semi-empirical kernel-driven model for typical camouflage materials","authors":"Jiale Zhao","doi":"10.1051/jeos/2023045","DOIUrl":null,"url":null,"abstract":"Abstract: The reflectance of an object is a physical quantity that is related to a variety of factors such as wavelength, direction of light source, direction of detection, and weather conditions.If complete spectral information about the target is to be obtained, this can only be done by measuring the spectral reflectance in all angular directions. Obviously, this method of acquiring spectral data has the disadvantages of complex operation, low efficiency and poor timeliness in military applications. The Semi-Empirical kernel-driven model captures the main factors affecting the bidirectional reflective properties of an object and uses physically meaningful kernel parameters to characterise the reflective properties of an object. By measuring these kernel parameters and combining them with a small number of measurements, it is possible to extrapolate and fit the spectral reflectance of the target in all directions, improving the efficiency of information acquisition and processing. Semi-empirical kernel-driven models were initially used to study the composition and structure of vegetation and its spectral reflectance properties with some results. However, whether the Semi-empirical kernel-driven model can be effectively used to study the spectral reflectance properties of military materials has not been verified. This paper first introduces three commonly used semi-empirical kernel-driven models, namely RossThick-LiSparseR(RTLSR), RossThick-LiTransitN (RTLT) and RossThick-Roujean (RTR). Then, the spectral reflectance of four typical military materials was measured using an imaging spectrometer, and the fitting effects of different models were evaluated. Experiments show that the three semi-empirical kernel-driven models have good data fitting ability for different types of military materials.Overall, RTLSR model has the best data fitting ability and the best stability of inversion results.","PeriodicalId":674,"journal":{"name":"Journal of the European Optical Society-Rapid Publications","volume":"17 8","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the European Optical Society-Rapid Publications","FirstCategoryId":"4","ListUrlMain":"https://doi.org/10.1051/jeos/2023045","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract: The reflectance of an object is a physical quantity that is related to a variety of factors such as wavelength, direction of light source, direction of detection, and weather conditions.If complete spectral information about the target is to be obtained, this can only be done by measuring the spectral reflectance in all angular directions. Obviously, this method of acquiring spectral data has the disadvantages of complex operation, low efficiency and poor timeliness in military applications. The Semi-Empirical kernel-driven model captures the main factors affecting the bidirectional reflective properties of an object and uses physically meaningful kernel parameters to characterise the reflective properties of an object. By measuring these kernel parameters and combining them with a small number of measurements, it is possible to extrapolate and fit the spectral reflectance of the target in all directions, improving the efficiency of information acquisition and processing. Semi-empirical kernel-driven models were initially used to study the composition and structure of vegetation and its spectral reflectance properties with some results. However, whether the Semi-empirical kernel-driven model can be effectively used to study the spectral reflectance properties of military materials has not been verified. This paper first introduces three commonly used semi-empirical kernel-driven models, namely RossThick-LiSparseR(RTLSR), RossThick-LiTransitN (RTLT) and RossThick-Roujean (RTR). Then, the spectral reflectance of four typical military materials was measured using an imaging spectrometer, and the fitting effects of different models were evaluated. Experiments show that the three semi-empirical kernel-driven models have good data fitting ability for different types of military materials.Overall, RTLSR model has the best data fitting ability and the best stability of inversion results.
基于陆基高光谱成像和典型伪装材料的半经验核驱动模型的光谱反射率拟合
摘要:物体的反射率是一个物理量,它与波长、光源方向、探测方向、天气条件等多种因素有关。如果要获得目标的完整光谱信息,只能通过测量各个角度方向的光谱反射率来实现。显然,这种获取光谱数据的方法在军事应用中存在操作复杂、效率低、时效性差的缺点。半经验核驱动模型捕获影响对象双向反射特性的主要因素,并使用物理上有意义的核参数来表征对象的反射特性。通过测量这些核心参数,并将其与少量测量相结合,可以外推和拟合目标各方向的光谱反射率,提高信息获取和处理的效率。利用半经验核驱动模型对植被的组成、结构及其光谱反射率特性进行了初步研究,并取得了一些成果。然而,半经验核驱动模型能否有效地用于研究军用材料的光谱反射率特性,尚未得到验证。本文首先介绍了三种常用的半经验核驱动模型,即rosssthick - lisparser (RTLSR)、rosssthick - litransitn (RTLT)和rosssthick - roujean (RTR)。然后,利用成像光谱仪测量了4种典型军用材料的光谱反射率,并对不同模型的拟合效果进行了评价。实验表明,这三种半经验核驱动模型对不同类型的军用材料具有良好的数据拟合能力。总体而言,RTLSR模型具有最佳的数据拟合能力和最佳的反演结果稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.40
自引率
0.00%
发文量
12
审稿时长
5 weeks
期刊介绍: Rapid progress in optics and photonics has broadened its application enormously into many branches, including information and communication technology, security, sensing, bio- and medical sciences, healthcare and chemistry. Recent achievements in other sciences have allowed continual discovery of new natural mysteries and formulation of challenging goals for optics that require further development of modern concepts and running fundamental research. The Journal of the European Optical Society – Rapid Publications (JEOS:RP) aims to tackle all of the aforementioned points in the form of prompt, scientific, high-quality communications that report on the latest findings. It presents emerging technologies and outlining strategic goals in optics and photonics. The journal covers both fundamental and applied topics, including but not limited to: Classical and quantum optics Light/matter interaction Optical communication Micro- and nanooptics Nonlinear optical phenomena Optical materials Optical metrology Optical spectroscopy Colour research Nano and metamaterials Modern photonics technology Optical engineering, design and instrumentation Optical applications in bio-physics and medicine Interdisciplinary fields using photonics, such as in energy, climate change and cultural heritage The journal aims to provide readers with recent and important achievements in optics/photonics and, as its name suggests, it strives for the shortest possible publication time.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信