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| Type |
Poster Presentation |
| Area |
Analytical Chemistry |
| Room No. |
Event Hall |
| Time |
4월 19일 (목요일) 11:00~12:30 |
| Code |
ANAL.P-227 |
| Subject |
Chemical Warfare Agents Detection System in FTIR Spectroscopy |
| Authors |
Hyunwoo Nam*, Hyeon Jeong Kim, young-jin koh, JUN OH LEE, Young-Su Jeong
Agency for Defense Development, Korea
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| Abstract |
We introduce a stand-off Chemical Warfare Agent(CWA) detection system in Fourier transform infrared(FTIR) spectroscopy. We address the basic characteristics of spectra measured by the passive FTIR spectrometer. The spectrum represents the molecular absorption or emission, creating a specific response pattern or a molecular fingerprint that is unique to the class of CWAs. General CWA detection algorithms of the FTIR remote sensing system takes into the brightness temperature spectra account to detect or identify the known CWAs. Due to random or pattern noise appeared while measuring FTIR spectra, it is necessary to utilize signal pre-processing techniques. To mitigate effect of signal noise and improve signal-to-noise(SNR), we introduce two noise reduction methods such as Savitzky Golay Filter and Frame Average. Then, we use CWA detection algorithms to analyze the noise-filtered brightness temperature spectra based on the gas reference libraries that present the unique fingerprints of CWAs. In this study, we introduce two detection algorithms, 1) Cross Correlation that compares the shape similarity between two brightness temperature spectra and 2) Support Vector Machine(SVM), a machine learning-based supervised algorithm.
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| E-mail |
hyunwoonam@add.re.kr |
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121st General Meeting of the KCS