• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2000.06a
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• pp.31-41
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• 2000

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2002.11a
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• pp.25-58
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• 2002

• Journal of Space Technology and Applications
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• v.3 no.2
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• pp.154-164
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• 2023

In space exploration, spectroscopic observation is useful for understanding objects' composition and physical properties. There are various methods for analyzing spectral data, and there are differences depending on the object and the wavelength. This paper introduces a method for analyzing visible & nearinfrared (VNIR) spectral data, which is mainly applied in lunar exploration. The main analysis methods include false color ratio image processing, reflectance pattern analysis, integrated band depth (IBD) processing, and continuum removal as preprocessing before analysis. These spectroscopic analysis methods help to understand the mineral properties of the lunar surface in the VNIR region and can be applied to other celestial bodies such as Mars.

• Clean Technology
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• v.18 no.1
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• pp.31-37
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• 2012

Biomass has become a major feedstock for bioenergy and other bio-based products because of its renewability and environmental benefits. Various researches have been done in the prediction of crucial characteristics of biomass, including the active utilization of spectroscopy data. Near infrared (NIR) spectroscopy has been widely used because of its attractive features: it's non-destructive and cost-effective producing fast and reliable analysis results. This work developed the multivariate statistical scheme for predicting weight loss profiles based on the utilization of NIR spectra data measured for six lignocellulosic biomass types. Wavelet analysis was used as a compression tool to suppress irrelevant noise and to select features or wavelengths that better explain NIR data. The developed scheme was demonstrated using real NIR data sets, in which different prediction models were evaluated in terms of prediction performance. In addition, the benefits of using right pretreatment of NIR spectra were also given. In our case, it turned out that compression of high-dimensional NIR spectra by wavelet and then PLS modeling yielded more reliable prediction results without handling full set of noisy data. This work showed that the developed scheme can be easily applied for rapid analysis of biomass.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.88.1-88.1
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• 2010

2001년부터 목성, 토성, 타이탄을 관측하여 얻은 근적외선 고분산 분광선에 대한 자료들을 요약하고, 이들 데이터에서 도출된 연구 결과들을 정리하였다. 특히 3 마이크론 근처에서 혜성이나 성간물질 등에서 종종 나타나는 C-H stretching band와 비슷한 분광구조를 확인하였다. 이 분광구조는 행성계 물체의 연무나 구름 입자 속에 포함하고 있는 유기분자 때문이라고 유추된다. 이 파장 영역은 강한 대기 흡수 때문에 많은 관측자들이 기피하던 영역이었는데, 근래에 들어 고분산 분광기의 발달로 대기흡수선 사이를 통해 이들 천체들의 자세한 분광구조를 알 수 있게 되었다. 이번 발표에서 목성, 토성, 타이탄 분광 구조의 다른 점과 같은 점을 보여주고, 이 파장 영역에서만 도출할 수 있는 유용한 과학적 결과를 강조하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.457-458
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• 2017

본 연구에서는 과일 내부의 당도 및 산도 측정을 위하여 근적외선 파장 대역 광원을 활용한다. 이러한 근 적외선을 이용한 분광 분석 기술은 고품질 과일 생산을 통한 농가의 수익성 증가 및 내부 품질에 대한 소비자들의 신뢰성 향상에 크게 기여 할 수 있다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.10a
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• pp.95-96
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• 2001

수산식품의 품질검사를 위한 기존의 분석법들은 대부분 각종 무기 및 유기 시약을 이용한화학적 분석이 주로 이용되어지고 있으며, 이와 같은 화학적 분석 방법들은 시료의 전처리부터 최종 결과를 도출하기까지 상당한 시간이 소요되며, 분석자의 숙련도에 따라 결과의 재현성이 달라지는 단점들을 지니고 있다. 이에 비해 분광학적 분석 방법중의 하나인 근적외선(Near-Infrared) 분광분석법은 식품의 구성성분을 분석하는 비파과 측정법 중에서 가장 발전된 방법이라 할 수 있다. (중략)

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.991-1000
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• 2021

Among non-invasive blood glucose detection technologies, the optical technique is a method that uses light reflection, absorption, and scattering characteristics when passing through a biological medium. It reduces pain or discomfort in measurement and has no risk of infection. So it is becoming a major flow of blood glucose detection research. Among them, near-infrared spectroscopy has a disadvantage in that the complexity increases when analyzing signals detected due to interferences between proteins and acids that share a similar absorption function with blood glucose molecules. In this study, a non-invasive sensor system with multiple near-infrared bands was designed and manufactured to alleviate the deterioration of blood glucose detection function that may occur due to skin absorption of near-infrared rays. A blood survey was conducted to verify the system, and the degree of blood glucose response in the blood was collected as spectral data, and the results of this study were quantitatively verified in terms of correlation between the data and blood glucose.

• Journal of Korean Society of Forest Science
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• v.97 no.6
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• pp.561-564
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• 2008

Pinus densiflora(red pine) stands in Korea have been faced with the serious threat by pine wilt disease caused by Bursaphelenchus xylophilus (nematodes). It is not easy to early detect and prevent the infected trees because those cannot be visually identified during the initial phase of infection. Red pine is usually infected by B. xylophilus from May to July and can be just visually detected in October or November. While the infected trees are wilted, the spectral value of Near Infrared (NIR) is supposed to be decreased. Based on this phenomena, in this paper, the vegetation vitality change of infected trees was analyzed using vegetation indices. Spectral values of Red, Green and NIR had been acquired monthly by a portable NIR camera in the same place of red pine stands infected by pine wilt disease. It could be proven that the vegetation index, or vegetation vitality of damaged trees starts to decrease from June, in the early infecting phase.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.5
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• pp.123-131
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• 2016

To capture color and near-infrared images simultaneously, a multi-spectral filter array(MSFA) sensor is used. This is because an NIR band gives additional invisible information to human eyes to see subject under extremely low light level. However, because lenses have different refractive indices for different wavelengths, lenses may fail to focus widely different rays to the same convergence point. This is why a chromatic aberration(CA) problem occurs and images are degraded. In this paper, the image restoration algorithm for an MSFA image, which removes the CA problem, is presented. The obtained MSFA image is filtered by the estimated low-pass kernel to generate a base image. This base image is used to remove CA problem in multi-spectral(MS) images. By modeling the image degradation process and by using the least squares approach of the difference between the high-frequencies of the base and MS images, the desired high-resolution MS images are reconstructed. The experimental results show that the proposed algorithm performs well in estimating the high-quality MS images and reducing the chromatic aberration problem.