一个低成本的计算光谱仪,基于训练的稀疏基矩阵
Yanbo Gao1, Hejia Pan1, Yajuan Sheng1
1Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, China.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
本研究介绍了一种使用聚甲基甲酸 (PMMA) 过器的低成本计算光谱仪. 通过通过神经网络优化稀疏基矩阵,它在模拟和实验中实现了高光谱重建精度.
科学领域:
- 光学和光子学 在光学和光子学.
- 计算成像技术的成像
- 材料科学 材料科学 材料科学
背景情况:
- 计算光谱仪提供了有前途的应用,但在成本和准确性方面面临挑战.
- 像聚甲基甲酸 (PMMA) 这样的低成本材料可以用于宽带编码过器.
- PMMA过器的相关性可能会影响光谱重建的准确性.
研究的目的:
- 提出一个低成本,硬件可实现的计算光谱仪,具有高的重建精度.
- 为了解决因相关的PMMA编码过器造成的精度限制.
- 为了证明训练的稀基矩阵用于光谱重建的可行性.
主要方法:
- 将传感矩阵解为测量矩阵和稀疏基矩阵.
- 独立优化稀疏基数矩阵.
- 在公共光谱数据集上使用神经网络训练一个过于完整的字典,以作为稀疏基矩阵.
主要成果:
- 模拟显示了良好的光谱重建结果.
- 实验原型实现了高分辨率的光谱测量.
- 经过训练的稀疏基矩阵方法证明了可行性.
结论:
- 拟议的方法使低成本的计算光谱仪成为可能.
- 尽管使用低成本的相关过器,但可以实现高光谱重建精度.
- 这种方法验证了用于计算光谱成像的训练稀疏基的使用.
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