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15 June 2023 Sparsity for ultrafast material identification
Yurui Qu, Qingyi Zhou, Jin Xiang, Zongfu Yu
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Proceedings Volume 12516, Next-Generation Spectroscopic Technologies XV; 1251605 (2023) https://doi.org/10.1117/12.2660145
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
Mid-infrared spectroscopy is often used to identify material. Thousands of spectral points are measured in a time-consuming process using expensive table-top instrument. However, material identification is a sparse problem, which in theory could be solved with just a few measurements. Here we exploit the sparsity of the problem and develop an ultra-fast, portable, and inexpensive method to identify materials. In a single-shot, a mid-infrared camera can identify materials based on their spectroscopic signatures. This method does not require prior calibration, making it robust and versatile in handling a broad range of materials.
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Yurui Qu, Qingyi Zhou, Jin Xiang, and Zongfu Yu "Sparsity for ultrafast material identification", Proc. SPIE 12516, Next-Generation Spectroscopic Technologies XV, 1251605 (15 June 2023); https://doi.org/10.1117/12.2660145
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KEYWORDS
Ultrafast phenomena
Mid-IR
Chemical analysis
Computer programming
FT-IR spectroscopy
Spectroscopes
Calibration
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