在长波红外光线中振荡场景变化器件的复合校正方法 里埃变换光谱法 光谱光谱
Applied optics
|August 12, 2025
概括
富里埃变换光谱中的场景变化器件 (SCAs) 比光谱大得多. 一种新的方法,即重组校正方法 (RCM),有效地去除这些光谱工件,提高测量精度.
科学领域:
- 频谱学是一种光谱学.
- 光学物理学的光学物理学
- 信号处理 信号处理
背景情况:
- 福里埃变换光谱法 (FTS) 是一种用于光谱测量的多功能技术.
- 当视野 (FOV) 中的辐射变化时,场景变化工件 (SCAs) 会污染光谱.
- SCAs可以比实际的光谱信号大得多.
研究的目的:
- 为了调查在FTS中由振荡模糊引起的SCAs.
- 量化这些SCAs的大小和特征.
- 引入和验证一种用于去除SCA的新方法.
主要方法:
- 用模拟和实验调查来研究SCAs.
- 重组校正方法 (RCM) 是为了分离目标和背景干扰图而开发的.
- RCM应用于受振荡模糊影响的干涉图.
主要成果:
- 发现SCAs比光谱大几百倍.
- SCAs表现出对振荡相的依赖,并且影响了真实和虚幻的光谱部分.
- RCM实现了99%的光谱SCAs的减少.
结论:
- 振荡模糊导致FTS中显著的SCAs.
- 在FTS中,RCM是一种非常有效的方法来减轻SCAs.
- 需要进一步的研究来解决非振荡性SCAs.
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