Hyperspectral Imaging: A Review of Best Practice, Performance and Pitfalls for in-line and on-line Applications
Hyperspectral Imaging: A Review of Best Practice, Performance and Pitfalls for in-line and on-line Applications
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DOI：
10.1255/jnirs.1003
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发表时间：
2012-10
影响因子：
1.8
通讯作者：
B. Boldrini;W. Kessler;K. Rebner;R. Kessler
中科院分区：
文献类型：
--
作者：
B. Boldrini;W. Kessler;K. Rebner;R. Kessler
本文的目的是提供一个全面的高光谱成像的最佳实践审查。本文首先回顾了不同光谱成像技术的分类及其优缺点。讨论了相机和光谱仪的适当选择及其品质因数，并详细描述了如何对推扫式成像系统进行在线和在线控制。特别强调的是检测和避免镜面反射，可以严重扭曲的光谱响应的量化。一个理想的朗伯照明的建议，并讨论了散射和吸收的影响时，微粒系统进行了调查。在这里，第一原理介绍和战略，如何从吸收分离散射。一个简单的方法，使用Kubelka和芒克的方法进行检查和分离的散射和纯吸收光谱。相同的程序用于显示包埋在赋形剂中的活性药物成分的分离的散射和吸收特性的横向分布。讨论了穿透深度和信息深度这两个术语，并提供了穿透深度随波长变化的示例。基于一个良好的质量的光学设置和验证的测量程序，一个实用的程序来分析数据立方体使用化学计量学工具箱高光谱成像。最后，对选定的应用程序的调查表明，未来的潜力高光谱成像。
The objective of this paper is to provide a comprehensive review of best practice in hyperspectral imaging. The paper starts to review the taxonomy of the different spectral imaging techniques together with their advantages and disadvantages. The appropriate selection of cameras and spectrographs and their figures of merit are discussed and a detailed description is given of how to qualify and calibrate a pushbroom imaging system for on-line and in-line control. Special emphasis is given to detection and avoidance of specular reflection which can severely distort quantification of the spectral response. Recommendations for an ideal Lambertian illumination are given and the effects of scatter and absorption are discussed when particulate systems are investigated. Here, first principles are introduced and strategies for how to separate scatter from absorption are developed. A simple method using the Kubelka and Munk approach is examined and separated scatter and pure absorption spectra are shown. The same procedure is applied to show the lateral distribution of the separated scatter and absorption properties of an active pharmaceutical ingredient embedded in an excipient. The terms penetration and information depth are discussed and an example of penetration depth profile over wavelengths is provided. Based on a good quality optical set-up and a validated measurement procedure, a practical procedure is described to analyse the data cube using the chemometrics toolbox for hyperspectral imaging. Finally, a survey on selected applications demonstrates the future potential of hyperspectral imaging.