과제정보
본 연구는 국방과학연구소의 연구비 지원으로 수행되었습니다.(계약번호 UD190007GD)
참고문헌
- R. L. McCreery, "Raman Spectroscopy for Chemical Analysis," John Wiley & Sons, Canada, pp. 15-34, 2000.
- M. A. Slamani, B. Fisk, T. Chyba, D. Emge and S. Waugh, "A Algorithm Benchmark Data Suite for Chemical and Biological(Chem/Bio) Defense Applications," SPIE Defense and Security Symposium, Vol. 6969, No. 696903, 2008.
- R. D. Palkki, and A. D. Lanterman, "Identifying Chemicals from Their Raman Spectra Using Minimum Description Length," Proc. of SPIE, Vol. 7698, Signal and Data Processing of Small Targets 2010, 769807, Apr. 2010.
- S. H. Melfi, D. N. Whiteman, and R. A. Ferrare, "Observation of Atmospheric Fronts Using Raman Lidar Moisture Measurements," Journal of Applied Meteorology, Vol. 28, pp. 789-806, 1989. https://doi.org/10.1175/1520-0450(1989)028<0789:OOAFUR>2.0.CO;2
- K. Xiiong, "UV Resonance Raman Spectroscopy: A Highly Sensitive, Selective and Fast Technique for Environmental Analysis," Environmental Analytial Chemistry, Vol. 2, No. 1, 2014.
- F. Foucher, G. Guimbretiere, N. Bost, and F. Westall, "Petrographical and Mineralogical Applications of Raman Mapping," Raman Spectroscopy and Applications, Khan Maaz, IntechOpen, Feb. 2017.
- E. V. Efremov, F. Ariese, and C. Gooijer, "Achievements in Resonance Raman Spectroscopy Review of a Technique with a Distinct Analytical Chemistry Potential," Analytica Chimica Acta 606, pp. 119-134, 2008. https://doi.org/10.1016/j.aca.2007.11.006
- Y. J. Koh, "The Design and Test of the Stand-off Surface Chemical Contaminant Detection System based on Spectroscopy," Journal of the KIMST, Vol. 22, No. 3, pp. 433-440, 2019.
- S. K. Choi, Y. S. Jeong, J. H. Lee, and Y. C. Ha, "Deep UV Raman Spectroscopic Study for the Standoff Detection of Chemical Warfare Agents from the Agent-Contaminated Ground Surface," Journal of the KIMST, Vol. 18, No. 5, pp. 612-620, 2015.
- A. J. Sedlacek, M. Ray, S. Higdon, and D. Richter, "Short-Range, Non-Contact Detection of Surface Contamination Using Raman Lidar," Proc. of SPIE, Vol. 4577, 2002.
- P. Ponsardin, S. Higdon, T. H. Chyba, W. T. Armstrong, A. J. Sedlacek III, S. Christesen, and A. Wong, "Expanding Applications for SurfaceContaminant Sensing Using the Laser Interrogation of Surface Agents(LISA) Technique," Proc. of SPIE, 2004.
- J. Smulko, M. S. Wrobel, and I, Barman, "Noise in Biological Raman Spectroscopy," International Conference on Noise and Fluctuations, 2015.
- H. Chen, W. Xu, N. Broderick, and J. Han, "An Adaptive Denoising Method for Raman Spectroscopy based on Lifting Wavelet Transform," Journal of Raman Spectroscopy, Vol. 49, Issue. 9, June, 2018.
- S. A. Kirillov, "Repulsion Forces in Vibrational Spectroscopy - I. Spectral Shifts in Vibrational Spectra of Condensed Media Caused by Repulsion Forces," Spectrochimica Acta, Vol. 48A, No. 6, pp. 861-866, 1992. https://doi.org/10.1016/0584-8539(92)80082-8
- R. Gautam, S. Vanga, F. Ariese, and S. Umapathy, "Review of Multidimensional Data Processing Approaches for Raman and Infrared Spectrocsopy," Vol. 2, No. 1, pp. 1-38, 2015, EPJ Techniques and Instrumentation. https://doi.org/10.1140/epjti/s40485-014-0011-5
- C. M. Bishop, "Pattern Recognition and Machine Learning," Springer Science + Business Media, LLC, 2006.
- C. Carey, T. Boucher, S. Mahadevan, P. Bartholomew, and M. D. Dyar, "Machine Learning Tools for Mineral Recognition and Classification from Raman Spectroscopy," Journal of Raman Spectroscopy, Vol. 46, Issue 10, pp. 894-903, 2015. https://doi.org/10.1002/jrs.4757
- J. dong, M. Hong, Y, xu, and X. Zheng, "A Practical Convolutional Neural Network Model for Discriminating Raman Spectra of Human and Animal Blood," Journal of Chemometrics, Vol. 33, Issue 11, 2019.
- I. Goodfellow, Y. Bengio, and A. Courville, "Deep Learning," MIT Press Cambridge, Massachusetts, pp. 326-366, 2016.
- Y. C. Ha, J. H. Lee, Y. J. Koh, S. K. Lee, and Y. K. Kim, "Development of an Ultraviolet Raman Spectrometer for Standoff Detection of Chemicals," Current Optics and Photonics, Vol. 1, No. 3, pp. 247-251, June, 2017. https://doi.org/10.3807/COPP.2017.1.3.247