在激光诱导分解光谱成像中识别相关的光谱范围,使用里埃空间进行成像
Tomás Lopes1,2, Diana Capela1,2, Miguel F S Ferreira1,2
1Center for Applied Photonics, INESC TEC, Porto, Portugal.
Applied spectroscopy
|April 17, 2024
概括
这项研究介绍了激光诱导分解光谱 (LIBS) 成像的不可知处理管道. 它使用空间信息比率指标来识别相关的光谱范围,改善数据分析和可访问性.
科学领域:
- 频谱学是一种光谱学.
- 材料科学 材料科学 材料科学
- 数据分析 数据分析
背景情况:
- 激光诱导分解光谱 (LIBS) 成像是一种强大的多元件检测和快速数据采集技术.
- 目前的LIBS数据处理依赖于专家知识来识别和映射元素,限制可访问性.
- 现有用于自动识别光谱区域的现有方法可能会因为噪音或光谱干扰而失败.
研究的目的:
- 为LIBS成像数据开发一个不可知处理管道.
- 为非专业人士提高LIBS成像的可访问性和透明度.
- 在LIBS数据中引入一个强大的特征提取方法.
主要方法:
- 为LIBS成像开发了一种新的不可知处理管道.
- 对于每个波长,在富里埃空间中计算了一个空间信息比度指标.
- 管道识别了相关的光谱范围,没有先前的元素知识.
主要成果:
- 拟议的管道为LIBS成像中的特征提取提供了一种更强大,更简单的方法.
- 它克服了传统光谱检查方法的局限性,例如低信号噪声比和元素干扰.
- 该方法有助于更有效地识别相关的光谱范围.
结论:
- 开发的不可知论管道改善了LIBS成像数据分析和特征提取.
- 这种方法提高了LIBS成像对更广泛的用户的可访问性.
- 在LIBS中引入了用于光谱数据分析和压缩的新机会.
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