• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.86-89
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• 2006

Ocean color remote sensing community currently uses the different solar irradiance spectra covering the visible and near-infrared in the calibration/validation and deriving products of ocean color instruments. These spectra derived from single and / or multiple measurements sets or models have significant discrepancies, primarily due to variation of the solar activity and uncertainties in the measurements from various instruments and their different calibration standards. Thus, it is prudent to examine model-to-model differences and select a standard reference spectrum that can be adopted in the future calibration and validation processes, particularly of the first Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meterological Satellite (COMS) planned to be launched in 2008. From an exhaustive survey that reveals a variety of solar spectra in the literature, only eight spectra are considered here seeing as reference in many remote sensing applications. Several criteria are designed to define the reference spectrum: i.e., minimum spectral range of 350-1200nm, based completely or mostly on direct measurements, possible update of data and less errors. A careful analysis of these spectra reveals that the Thuillier 2004 spectrum seems to be very identical compared to other spectra, primarily because it represents very high spectral resolution and the current state of the art in solar irradiance spectra of exceptionally low uncertainty ${\sim}0.1%.$ This study also suggests use of the Gueymard 2004 spectrum as an alternative for applications of multispectral/multipurpose satellite sensors covering the terrestrial regions of interest, where it provides spectral converge beyond 2400nm of the Thuillier 2004 spectrum. Since the solar-activity induced spectral variation is about less than 0.1% and a large portion of this variability occurs particularly in the ultraviolet portion of the electromagnetic spectrum that is the region of less interest for the ocean color community, we disregard considering this variability in the analysis of solar irradiance spectra, although determine the solar constant 1366.1 $Wm^{-2}$ to be proposed for an improved approximation of the extraterrestrial solar spectrum in the visible and NIR region.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.90-93
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• 2006

The first Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500 ${\times}$ 2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. The special feature with GOCI is that like MODIS, MERIS and GLI, it will include the band triplets 660-680-745 for the measurements of sun-induced chlorophyll-a fluorescence signal from the ocean. The GOCI will provide SeaWiFS quality observations with frequencies of image acquisition 8 times during daytime and 2 times during nighttime. With all the above features, GOCI is considered to be a remote sensing tool with great potential to contribute to better understanding of coastal oceanic ecosystem dynamics and processes by addressing environmental features in a multidisciplinary way. To achieve the objectives of the GOCI mission, we develop the GOCI Data Processing System (GDPS) which integrates all necessary basic and advanced techniques to process the GOCI data and deliver the desired biological and geophysical products to its user community. Several useful ocean parameters estimated by in-water and other optical algorithms included in the GDPS will be used for monitoring the ocean environment of Korea and neighbouring countries and input into the models for climate change prediction.

• 전자공학회논문지
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• 제53권5호
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• pp.123-131
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• 2016

저조도 환경에서 근적외선은 사람 눈에 보이지 않는 추가적인 정보를 제공하여 물체를 보다 분명하게 구별하고 인식하도록 도움을 준다. 컬러 영상과 근적외선 영상을 동시에 획득하기 위해서 다중 분광 필터 배열을 사용하였다. 그러나 렌즈의 굴절률은 빛의 파장 길이에 따라 다르기 때문에 초점면에 상이 다르게 맺히게 된다. 그 결과 색수차 문제가 발생하고 영상은 흐려지게 되며 영상의 해상도가 떨어지게 된다. 본 논문에서는 이러한 색수차 문제를 고려한 영상 복원 알고리즘을 제안하고자 한다. 다중 분광 필터 배열 영상에 컷오프 주파수가 추정된 저주파 통과 필터를 적용하여 기반 영상을 추정하도록 하였다. 이 영상을 이용하여 다중 분광 영상의 색수차 문제가 해결된 영상을 추정하도록 하였다. 영상 획득 과정에서, 색수차 문제와 기반 영상 형성 과정을 모델링하였다. 이러한 모델을 바탕으로, 기반 영상과 다중 분광 영상 간의 고주파 성분 차이에 대한 최소 자승법을 풀어서 다중 분광 영상을 획득하도록 하였다. 실험 결과는 제안하는 알고리즘이 색수차 문제가 최소화된 고화질의 다중 분광 영상을 추정한 것을 보여준다.

• 한국표면공학회지
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• 제51권2호
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• pp.126-132
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• 2018

SnS thin films with different substrate temperatures ($150 {\sim}300^{\circ}C$) as process parameters were grown on soda-lime glass substrates by RF magnetron sputtering. The effects of substrate temperature on the structural and optical properties of SnS thin films were investigated by X-ray diffraction (XRD), Raman spectroscopy (Raman), field-emission scanning electron microscopy (FESEM), energy dispersive X-ray spectroscopy (EDS), and Ultraviolet-visible-near infrared spectrophotometer (UV-Vis-NIR). All of the SnS thin films prepared at various substrate temperatures were polycrystalline orthorhombic structures with (111) planes preferentially oriented. The diffraction intensity of the (111) plane and the crystallite size were improved with increasing substrate temperature. The three major peaks (189, 222, $289cm^{-1}$) identified in Raman were exactly the same as the Raman spectra of monocrystalline SnS. From the XRD and Raman results, it was confirmed that all of the SnS thin films were formed into a single SnS phase without impurity phases such as $SnS_2$ and $Sn_2S_3$. In the optical transmittance spectrum, the critical wavelength of the absorption edge shifted to the long wavelength region as the substrate temperature increased. The optical bandgap was 1.67 eV at the substrate temperature of $150^{\circ}C$, 1.57 eV at $200^{\circ}C$, 1.50 eV at $250^{\circ}C$, and 1.44 eV at $300^{\circ}C$.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2011년도 제40회 동계학술대회 초록집
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• pp.157-157
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• 2011

박막형태로 제작이 가능한 비정질 실리콘은 결정질 실리콘에 비하여 AM-1 (Air Mass 1:100mW/cm2)조건하에서 10-3 S/cm 정도의 높은 광전기전도도와 가시광선 영역($4000{\sim}7000{\AA}$)에서 약 10배의 높은 광흡수계수를 가지며, $300^{\circ}C$ 이하의 낮은 기판온도에서 다양한 기판위에 대면적으로 제작이 가능할 뿐만 아니라 제작공정이 단순하여 제작비용이 저렴하다는 이점이 있다. 본 실험에서 제작된 모든 박막은 PECVD로 증착하였으며 구조는 p-i-n superstrate형 구조를 사용하였고, 각 박막의 두께는 p-a-Si:H/i-a-SiGe:H/n-a-Si:H ($300{\AA}/2000{\AA}/600{\AA}$)으로 고정하였다. a-Si:H (hydrogenated amorphous silicon) 태양전지의 광 흡수층인 i-layer에서의 germane 가스 유량 변화(0, 20, 40. 60, 80, 100 sccm)에 대한 흡수율의 차이를 UV/Vis/Nir spectrophotometer (ultraviolet/visible/near infrared spectrophotometer)를 통해 확인하고, 그에 따른 a-Si:H 박막 태양전지를 제작하여 solar simulator를 사용하여 AM 1.5 G의 환경 조건에서 태양전지 특성을 평가하였다. 그 결과 germane 가스 유량이 증가함에 따라 파장에 대한 absorptance (a.u.)값이 증가함을 알 수 있었으며, 흡수되는 파장영역의 범위가 장파장으로 확대됨을 확인할 수 있었다. 또한 germane 가스 유량이 60 sccm 일때 a-SiGe:H 박막 태양전지 변환효율이 3.80%로 최대값을 가졌다. 실험에서 germane 가스 유량이 증가할수록 흡수율이 높아져 태양전지특성이 향상될 거라 예상 했지만, 100 sccm보다 60 sccm일 때가 단락전류밀도 값과 변환효율이 높다는 것을 확인할 수 있었다. 이는 각 layer사이에 계면상의 문제가 있을 거라 예상되며 직렬저항측정을 통해 확인할 수 있다.

• Journal of Biosystems Engineering
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• 제40권2호
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• pp.153-158
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• 2015

Purpose: The research presented in this paper applied the chemometric analysis to the near-infrared spectral data from line-scanned hyperspectral images of beef and fish meals in animal feeds. The chemometric statistical models were developed to distinguish beef meals from fish ones. Methods: The meal samples of 40 fish meals and 15 beef meals were line-scanned to obtain hyperspectral images. The spectral data were retrieved from each of 3600 pixels in the Region of Interest (ROI) of every sample image. The wavebands spanning 969 nm to 1551 nm (across 176 spectral bands) were selected for chemometric analysis. The partial least squares regression (PLSR) and the principal component analysis (PCA) methods of the chemometric analysis were applied to the model development. The purpose of the models was to correctly classify as many beef pixels as possible while misclassified fish pixels in an acceptable amount. Results: The results showed that the success classification rates were 97.9% for beef samples and 99.4% for fish samples by the PLSR model, and 85.1% for beef samples and 88.2% for fish samples by the PCA model. Conclusion: The chemometric analysis-based PLSR and PCA models for the hyperspectral image analysis could differentiate beef meals from fish ones in animal feeds.

• 대한인간공학회지
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• 제30권1호
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• pp.229-235
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• 2011

Objective: Making a new ergonomic interface system based on camera vision system, which helps the handicapped in home environment. Background: Enabling the handicapped to manipulate the consumer electronics by the proposed interface system. Method: A wearable device for capturing the eye image using a near-infrared(NIR) camera and illuminators is proposed for tracking eye gaze position(Heo et al., 2011). A frontal viewing camera is attached to the wearable device, which can recognize the consumer electronics to be controlled(Heo et al., 2011). And the amount of user's eye fatigue can be measured based on eye blink rate, and in case that the user's fatigue exceeds in the predetermined level, the proposed system can automatically change the mode of gaze based interface into that of manual selection. Results: The experimental results showed that the gaze estimation error of the proposed method was 1.98 degrees with the successful recognition of the object by the frontal viewing camera(Heo et al., 2011). Conclusion: We made a new ergonomic interface system based on gaze tracking and object recognition Application: The proposed system can be used for helping the handicapped in home environment.

• 대한원격탐사학회지
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• 제25권2호
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• pp.113-126
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• 2009

Terra와 Aqua 위성에서 촬영되는 MODIS 영상은 매일 수신되는 중해상도 영상으로써 광범위한 지역에 대한 모니터링을 하는데 여러가지 장점을 제공한다. 특히, MODIS 영상은 신뢰성 있는 알고리즘을 적용하여 만들어진 대기/해양/육상 관련한 여러 가지 영상(products)들을 함께 제공함으로써 사용자가 데이터를 확보하여 바로 사용할 수 있는 장점을 가지고 있다. 또한 북한이라는 제도적으로 제약이 따르는 지역을 포함하는 한반도의 경우, 활용상의 제약이 따르지 않는 점이 중해상도급 MODIS 영상의 큰 장점이라고 할 수 있다. 본 연구는 기존의 시계열 모니터링에서 주로 식생지수를 모니터링하는 방법과는 달리, 대기 보정을 거쳐 대기의 효과를 제거한 250m급 MODIS 반사율 영상을 이용하여 시계열로 변화되는 반사율을 대상으로 하였다. 2004년에서 2008년까지 5년 동안의 각 토지 피복이 보이는 반사율 패턴과 함께, 토지 피복이 변화된 지역에서 관찰되는 반사율의 변화를 살펴보았다. 7개의 토지 피복별 근적외선, 적색광 반사율과 NDVI의 시계열 자료에서 토지 피복과 계절적 영향이 근적외선 반사율에서 가장 민감하게 반영되고 있는 것을 알 수 있다. 토지 피복에 따른 반사율 패턴은 토지 피복 분류 및 변화된 지역을 탐지하는데 기본적으로 이용될 가능성을 제시한다.

• 대한원격탐사학회지
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• 제22권3호
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• pp.183-197
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• 2006

Combinations of visible and near-infrared (NIR) bands in an image are widely used for estimating vegetation vigor and productivity. Using this approach to understand within-field grain crop variability could allow pre-harvest estimates of yield, and might enable mapping of yield variations without use of a combine yield monitor. The objective of this study was to estimate within-field variations in crop yield using vegetation indices derived from hyperspectral images. Hyperspectral images were acquired using an aerial sensor on multiple dates during the 2003 and 2004 cropping seasons for corn and soybean fields in central Missouri. Vegetation indices, including intensity normalized red (NR), intensity normalized green (NG), normalized difference vegetation index (NDVI), green NDVI (gNDVI), and soil-adjusted vegetation index (SAVI), were derived from the images using wavelengths from 440 nm to 850 nm, with bands selected using an iterative procedure. Accuracy of yield estimation models based on these vegetation indices was assessed by comparison with combine yield monitor data. In 2003, late-season NG provided the best estimation of both corn $(r^2\;=\;0.632)$ and soybean $(r^2\;=\;0.467)$ yields. Stepwise multiple linear regression using multiple hyperspectral bands was also used to estimate yield, and explained similar amounts of yield variation. Corn yield variability was better modeled than was soybean yield variability. Remote sensing was better able to estimate yields in the 2003 season when crop growth was limited by water availability, especially on drought-prone portions of the fields. In 2004, when timely rains during the growing season provided adequate moisture across entire fields and yield variability was less, remote sensing estimates of yield were much poorer $(r^2<0.3)$.

• 한국재료학회지
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• 제29권5호
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• pp.282-287
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• 2019

The photovoltaic properties of $TiO_2$ used for the electron transport layer in perovskite solar cells(PSCs) are compared according to the particle size. The PSCs are fabricated and prepared by employing 20 nm and 30 nm $TiO_2$ as well as a 1:1 mixture of these particles. To analyze the microstructure and pores of each $TiO_2$ layer, a field emission scanning electron microscope and the Brunauer-Emmett-Teller(BET) method are used. The absorbance and photovoltaic characteristic of the PSC device are examined over time using ultraviolet-visible-near-infrared spectroscopy and a solar simulator. The microstructural analysis shows that the $TiO_2$ shape and layer thicknesses are all similar, and the BET analysis results demonstrate that the size of $TiO_2$ and in surface pore size is very small. The results of the photovoltaic characterization show that the mean absorbance is similar, in a range of about 400-800 nm. However, the device employing 30 nm $TiO_2$ demonstrates the highest energy conversion efficiency(ECE) of 15.07 %. Furthermore, it is determined that all the ECEs decrease over time for the devices employing the respective types of $TiO_2$. Such differences in ECE based on particle size are due to differences in fill factor, which changes because of changes in interfacial resistance during electron movement owing to differences in the $TiO_2$ particle size, which is explained by a one-dimensional model of the electron path through various $TiO_2$ particles.