• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.4
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• pp.125-135
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• 2009

Owing to its fast computing capability for fusing images, the FIHS(Fast Intensity Hue Saturation) fusion is widely used for fusion purposes. However, the FIHS fusion also distorts color in the same way such as the IHS(Intensity Hue Saturation) fusion technique. In this paper, a FIHS fusion technique(FIHS-BR) which reduces color distortion by using the ratio of each spectral band and an adaptive FIHS fusion(FIHS-SABR) using spatial information and the ratio of each spectral band are proposed. The proposed FIHS-BR fusion reduces color distortion by adding different spatial detail improvement values for each spectral band. The spatial detail improvement values are derived from the ratio of spectral band. And the proposed FIHS-SABR fusion reduces more color distortion by readjusting the spatial detail improvement values for each spectral band according to the ratio of the spectral bands. The spatial detail improvement values are derived adaptively from the characteristics of spatial information of the local image. To evaluate the performance of the proposed FIHS-BR fusion and FIHS-SABR fusion, a computer simulation is performed for IKONOS remote sensing image. Results from the experiments show that the proposed methods have less color distortion for the forest regions which reveal severe color distortion in the traditional FIHS fusion. From the evaluation results of the characteristics of spectral information for fused image, we show that the proposed methods have best results.

• 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.

• Korean Journal of Optics and Photonics
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• v.11 no.3
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• pp.171-178
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• 2000

We present a numerical model which enables to analyze $1.47mu$m amplification band characteristics for thulium doped fluoride fiber amplifiers. We focused on upconversion pumping scheme, thus many transitions affecting $1.47mu$m band amplification was considered simultaneously. Backward propagating waves and transverse mode were also considered in the model. The parameters for modeling were then acquired using published experimental data and related theories such as Judd-Ofelt theory for radiative transition, empirical energy gap law for non-radiative transition, and McCumber relations for cross-sections. The simulation showed well-matched results with experiment and internal dynamics. amics.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.1
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• pp.15-33
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• 2021

In this study, the possibility of discriminating Fire blight (FB) infection tested using the hyperspectral imagery. The reflectance of healthy and infected leaves and branches was acquired with 5 nm of full width at high maximum (FWHM) and then it was standardized to 10 nm, 25 nm, 50 nm, and 80 nm of FWHM. The standardized samples were divided into training and test sets at ratios of 7:3, 5:5 and 3:7 to find the optimal bands of FWHM by the decision tree analysis. Classification accuracy was evaluated using overall accuracy (OA) and kappa coefficient (KC). The hyperspectral reflectance of infected leaves and branches was significantly lower than those of healthy green, red-edge (RE) and near infrared (NIR) regions. The bands selected for the first node were generally 750 and 800 nm; these were used to identify the infection of leaves and branches, respectively. The accuracy of the classifier was higher in the 7:3 ratio. Four bands with 50 nm of FWHM (450, 650, 750, and 950 nm) might be reasonable because the difference in the recalculated accuracy between 8 bands with 10 nm of FWHM (440, 580, 640, 660, 680, 710, 730, and 740 nm) and 4 bands was only 1.8% for OA and 4.1% for KC, respectively. Finally, adding two bands (550 nm and 800 nm with 25 nm of FWHM) in four bands with 50 nm of FWHM have been proposed to improve the usability of multispectral image sensors with performing various roles in agriculture as well as detecting FB with other combinations of spectral bands.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.299-299
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• 2010

태양전지 셀에서 표면 반사에 의한 태양광 손실을 보다 적게 하여 흡수량 증가시킬 필요가 있다. 태양전지에서 생성된 전자 정공 수집 향상을 위해 금속 재질로 이루어진 그리드 전극을 사용한다. 이때 금속 그리드에 입사되는 태양광은 대부분 반사되어 입사광의 손실로 이어진다. 본 연구에서는 결정질 실리콘 태양전지에서 표면 그리드에 의한 광학적 손실을 반사율을 통해 확인하였고 양자효율을 측정하여 보았다. 결정질 실리콘 태양전지 표면 반사율 측정은 적분구를 사용하였고, 측정에 사용된 태양전지 샘플은 일반적인 구조의 결정질 실리콘 태양전지이다. 실험은 표면 그리드 공정 전 후의 샘플로 실험을 진행하였고, 셀의 표면 균일도에 의한 확인을 위하여 동일한 면적 비율의 입사광을 조사하여 반복 실험을 하였다. 양자효율 측정은 광학 초퍼를 통한 광원과 분광기 및 검출기를 포함하는 태양전지 특성 분석 장치를 사용하였다. 그 결과 특정 파장 대역에서 그리드의 유무에 따른 반사율의 변화와 이에 따른 양자효율의 변화를 통하여 그리드에 의한 결정질 실리콘 태양전지의 특성변화에 대해 알아보았다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.2
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• pp.162-169
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• 2019

Non-destructive freshness measurement using spectroscopy has been carried out several times, but research on freshness and freshness has not been conducted. Therefore the purpose of this study is to develop a system for visually measuring and quantifying the air sack inside the egg by non - destructive method. The experimental environment which designed a small chamber was composed of 850nm band of two IR lasers, IR camera and two servo motors to acquire air sack Images. When the air sack volume ratio is 2.9% or less and the density is 0.9800 or more, the Haugh Unit value is 60 or more It was judged to be a fresh egg of a grade B or higher. These results mean, using the weight measurement, nondestructive decision system, and freshness evaluating algorithm. It can be expected to distinguish grade B or more marketable eggs without using destructive methods.