• 제목/요약/키워드: Infrared sensing

검색결과 475건 처리시간 0.029초

미국 중부 토양의 이화학적 특성 추정을 위한 광 확산 반사 신호 전처리 및 캘리브레이션 (Preprocessing and Calibration of Optical Diffuse Reflectance Signal for Estimation of Soil Physical and Chemical Properties in the Central USA)

  • 나우정;;정선옥;김학진
    • Journal of Biosystems Engineering
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    • 제33권6호
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    • pp.430-437
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    • 2008
  • Optical diffuse reflectance sensing in visible and near-infrared wavelength ranges is one approach to rapidly quantify soil properties for site-specific management. The objectives of this study were to investigate effects of preprocessing of reflectance data and determine the accuracy of the reflectance approach for estimating physical and chemical properties of selected Missouri and Illinois, USA surface soils encompassing a wide range of soil types and textures. Diffuse reflectance spectra of air-dried, sieved samples were obtained in the laboratory. Calibrations relating spectra to soil properties determined by standard methods were developed using partial least squares (PLS) regression. The best data preprocessing, consisting of absorbance transformation and mean centering, reduced estimation errors by up to 20% compared to raw reflectance data. Good estimates ($R^2=0.83$ to 0.92) were obtained using spectral data for soil texture fractions, organic matter, and CEC. Estimates of pH, P, and K were not good ($R^2$ < 0.7), and other approaches to estimating these soil chemical properties should be investigated. Overall, the ability of diffuse reflectance spectroscopy to accurately estimate multiple soil properties across a wide range of soils makes it a good candidate technology for providing at least a portion of the data needed in site-specific management of agriculture.

작물 수분스트레스 정량화를 위한 적외선 센싱 기술 도입 연구 (Introduction to infrared sensing technique for quantifying crop water stress)

  • 김민영;최용훈;전종길;김영진
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2017년도 춘계공동학술대회
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    • pp.132-132
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    • 2017
  • 고품질 농산물을 대량 생산하기 위한 가장 중요한 것은 적절한 관개관리이다. 생육시기별 작물 재배에 있어서 꼭 필요한 만큼의 물을 필요한 때에 준다면, 농업용수를 절약할 수 있을 뿐만 아니라, 작물의 한발 및 습해에 따른 피해를 최소화 할 수 있을 것이다. 기존의 토양 및 증발산량 기반의 자동 물관리 기술의 경우 직접적으로 작물의 상태변화를 실시간으로 확인할 수 없으며, 측정오차가 크고 작물수량이 많을 경우 측정시간 및 소요비용이 크다는 단점이 있다. 이를 극복하기 위해 최근 작물의 수분 스트레스를 비파괴적으로 측정하여 관개계획에 활용하는 연구가 해외에서 활발히 이루어지고 있다. 본 연구에서는 열영상 기술을 활용한 적정 관개계획 수립과 관련된 국내외 연구 사례를 소개하고, 오이를 대상으로 토양수분함량 변화에 따른 엽온 변화를 측정하고, 실시간으로 작물의 수분스트레스 여부를 분석하기 위한 예비실험을 실시하였다. 엽온 측정을 위해 적외선 센서(CT-300-232, DiWell, Korea)를 사용하였으며, 관개조건에 따른 엽온 및 FDR센서를 이용하여 토양수분변화를 모니터링 하였다. 세 가지 토양수분조건, 즉 200% $ET_c$(과다관개), 100% $ET_c$(적정관개), 30% $ET_c$(과소관개),을 시험구에 조성하고, 각각의 처리구에 따른 엽온변화를 측정하였다. 동일한 대기온도하에서 엽온의 변화를 살펴본 결과, 과소관개한 시험구에서의 엽온변화 폭이 가장 컸으며, 적정관개의 엽온 변화폭이 가장 작게 나타났다. 이는 물관리 조건에 따라 많이 줘도, 적게 줘도 스트레스 요인으로 작용함을 확인할 수 있었다. 향후 연구에서는 실시간 엽온자료와 더불어 기상자료를 활용하여 작물 수분스트레스 지수(Crop Water Stress Index, CWSI)을 산정하고, 이를 관개시설 운영 및 제어에 활용하기 위한 모듈 개발을 수행할 계획이다.

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Core Circuit Technologies for PN-Diode-Cell PRAM

  • Kang, Hee-Bok;Hong, Suk-Kyoung;Hong, Sung-Joo;Sung, Man-Young;Choi, Bok-Gil;Chung, Jin-Yong
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제8권2호
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    • pp.128-133
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    • 2008
  • Phase-change random access memory (PRAM) chip cell phase of amorphous state is rapidly changed to crystal state above 160 Celsius degree within several seconds during Infrared (IR) reflow. Thus, on-board programming method is considered for PRAM chip programming. We demonstrated the functional 512Mb PRAM with 90nm technology using several novel core circuits, such as metal-2 line based global row decoding scheme, PN-diode cells based BL discharge (BLDIS) scheme, and PMOS switch based column decoding scheme. The reverse-state standby current of each PRAM cell is near 10 pA range. The total leak current of 512Mb PRAM chip in standby mode on discharging state can be more than 5 mA. Thus in the proposed BLDIS control, all bitlines (BLs) are in floating state in standby mode, then in active mode, the activated BLs are discharged to low level in the early timing of the active period by the short pulse BLDIS control timing operation. In the conventional sense amplifier, the simultaneous switching activation timing operation invokes the large coupling noise between the VSAREF node and the inner amplification nodes of the sense amplifiers. The coupling noise at VSAREF degrades the sensing voltage margin of the conventional sense amplifier. The merit of the proposed sense amplifier is almost removing the coupling noise at VSAREF from sharing with other sense amplifiers.

무선 영상보안시스템 구현에 관한 연구 (A study on the implementation of the wireless video security system)

  • 김영민;김명환;김선형
    • 벤처창업연구
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    • 제7권1호
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    • pp.99-104
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    • 2012
  • 본 논문은 무선 영상보안시스템 구현에 관한 것으로서, 적외선센서를 이용하여 외부의 상황변화를 감지하였을 경우 Zigbee 네트워크를 이용하여 보안영역의 센서 정보를 서버에 송신한다. 서버에서는 상황을 판단하여 긴급 상황일 경우 IP 네트워크를 통하여 보안 영역의 카메라를 촬영 하도록 팬틸터로 명령어를 전송한다. 해당 카메라의 영상과 보안영역의 정보를 사용자의 스마트폰으로 전송하며 사용자는 스마트폰을 이용하여 카메라를 제어하여 상황을 확인함으로서, 소규모 카메라 보안시스템으로도 보다 많은 보안영역을 감시할 수 있도록 설계하였다. 최종적으로 실시간으로 긴급 상황에 대해 파악과 대처가 가능한 무선네트워크 기반의 영상보안시스템에 대하여 연구 및 구현을 통하여 검증하였다.

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환경감시탑재체 개발 동향 (Development Trend of Environment Monitoring Payloads)

  • 연정흠;김성희;고대호;이승훈;용상순
    • 항공우주산업기술동향
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    • 제7권1호
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    • pp.79-88
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    • 2009
  • 세계적인 관심이 고조되고 있는 환경 및 기후변화는 사회 전분야에 걸쳐 폭넓게 영향을 미치고 있다. 최근들어, 환경감시의 필요성과 이에 대한 관심의 고조와 더불어 원격탐사기술의 발전으로 인공위성을 이용한 환경감시가 본격화되고 있다. 본 논문에서는 환경감시 탑재체의 개발동향을 살펴본다. 지금까지 개발되었거나 개발되고 있는 환경탑재체들의 주요 규격 및 관측방식, 관측대상 등을 사례별로 조사하여 소개하였다. 하나의 위성으로 전지구 관측을 위하여 저궤도 탑재체를 중심으로 개발이 이루어졌으나, 최근들어 시간해상도의 중요성이 강조되면서 정지궤도 탑재체의 개발도 이루어지고 있다. 또한 관측대상에 따라 자외선, 가시광선, 적외선 등의 탐측대역을 달리한 탑재체가 개발되고 있다. 향후 국내 환경탑재체의 개발은 이러한 추세를 고려하여 명확한 임무분석과 함께 추진되어져야 할 것이다.

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Himawari-8/AHI 관측자료를 이용한 주요 대기 에어로솔 탐지 및 분류 방법 (Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data)

  • 이권호;이규태
    • 한국대기환경학회지
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    • 제34권3호
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    • pp.493-507
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    • 2018
  • Due to high spatio-temporal variability of amount and optical/microphysical properties of atmospheric aerosols, satellite-based observations have been demanded for spatiotemporal monitoring the major aerosols. Observations of the heavy aerosol episodes and determination on the dominant aerosol types from a geostationary satellite can provide a chance to prepare in advance for harmful aerosol episodes as it can repeatedly monitor the temporal evolution. A new geostationary observation sensor, namely the Advanced Himawari Imager (AHI), onboard the Himawari-8 platform, has been observing high spatial and temporal images at sixteen wavelengths from 2016. Using observed spectral visible reflectance and infrared brightness temperature (BT), the algorithm to find major aerosol type such as volcanic ash (VA), desert dust (DD), polluted aerosol (PA), and clean aerosol (CA), was developed. RGB color composite image shows dusty, hazy, and cloudy area then it can be applied for comparing aerosol detection product (ADP). The CALIPSO level 2 vertical feature mask (VFM) data and MODIS level 2 aerosol product are used to be compared with the Himawari-8/AHI ADP. The VFM products can deliver nearly coincident dataset, but not many match-ups can be returned due to presence of clouds and very narrow swath. From the case study, the percent correct (PC) values acquired from this comparisons are 0.76 for DD, 0.99 for PA, 0.87 for CA, respectively. The MODIS L2 Aerosol products can deliver nearly coincident dataset with many collocated locations over ocean and land. Increased accuracy values were acquired in Asian region as POD=0.96 over land and 0.69 over ocean, which were comparable to full disc region as POD=0.93 over land and 0.48 over ocean. The Himawari-8/AHI ADP algorithm is going to be improved continuously as well as the validation efforts will be processed by comparing the larger number of collocation data with another satellite or ground based observation data.

전지구 격자형 CHIRPS 위성 강우자료의 한반도 적용성 분석 (Assessment and Validation of New Global Grid-based CHIRPS Satellite Rainfall Products Over Korea)

  • 전민기;남원호;문영식;김한중
    • 한국농공학회논문집
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    • 제62권2호
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    • pp.39-52
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    • 2020
  • A high quality, long-term, high-resolution precipitation dataset is an essential in climate analyses and global water cycles. Rainfall data from station observations are inadequate over many parts of the world, especially North Korea, due to non-existent observation networks, or limited reporting of gauge observations. As a result, satellite-based rainfall estimates have been used as an alternative as a supplement to station observations. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite-based rainfall products with relatively high spatial and temporal resolutions and global coverage. CHIRPS is a global precipitation product and is made available at daily to seasonal time scales with a spatial resolution of 0.05° and a 1981 to near real-time period of record. In this study, we analyze the applicability of CHIRPS data on the Korean Peninsula by supplementing the lack of precipitation data of North Korea. We compared the daily precipitation estimates from CHIRPS with 81 rain gauges across Korea using several statistical metrics in the long-term period of 1981-2017. To summarize the results, the CHIRPS product for the Korean Peninsula was shown an acceptable performance when it is used for hydrological applications based on monthly rainfall amounts. Overall, this study concludes that CHIRPS can be a valuable complement to gauge precipitation data for estimating precipitation and climate, hydrological application, for example, drought monitoring in this region.

ATMOSPHERIC CORRECTION TECHNIQUE FOR GEOSTATIONARY OCEAN COLOR IMAGER (GOCI) ON COMS

  • Shanmugam, Palanisamy;Ahn, Yu-Hwan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.467-470
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    • 2006
  • 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. To achieve these mission objectives, it is necessary to develop an atmospheric correction technique which is capable of delivering geophysical products, particularly for highly turbid coastal regions that are often dominated by strongly absorbing aerosols from the adjacent continental/desert areas. In this paper, we present a more realistic and cost-effective atmospheric correction method which takes into account the contribution of NIR radiances and include specialized models for strongly absorbing aerosols. This method was tested extensively on SeaWiFS ocean color imagery acquired over the Northwest Pacific waters. While the standard SeaWiFS atmospheric correction algorithm showed a pronounced overcorrection in the violet/blue or a complete failure in the presence of strongly absorbing aerosols (Asian dust or Yellow dust) over these regions, the new method was able to retrieve the water-leaving radiance and chlorophyll concentrations that were consistent with the in-situ observations. Such comparison demonstrated the efficiency of the new method in terms of removing the effects of highly absorbing aerosols and improving the accuracy of water-leaving radiance and chlorophyll retrievals with SeaWiFS imagery.

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Simple Spectral Calibration Method and Its Application Using an Index Array for Swept Source Optical Coherence Tomography

  • Jung, Un-Sang;Cho, Nam-Hyun;Kim, Su-Hwan;Jeong, Hyo-Sang;Kim, Jee-Hyun;Ahn, Yeh-Chan
    • Journal of the Optical Society of Korea
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    • 제15권4호
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    • pp.386-393
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    • 2011
  • In this study, we report an effective k-domain linearization method with a pre-calibrated indexed look-up table. The method minimizes k-domain nonlinear characteristics of a swept source optical coherence tomography (SS-OCT) system by using two arrays, a sample position shift index and an intensity compensation array. Two arrays are generated from an interference pattern acquired by connecting a Fabry-Perot interferometer (FPI) and an optical spectrum analyzer (OSA) to the system. At real time imaging, the sample position is modified by location movement and intensity compensation with two arrays for linearity of wavenumber. As a result of evaluating point spread functions (PSFs), the signal to noise ratio (SNR) is increased by 9.7 dB. When applied to infrared (IR) sensing card imaging, the SNR is increased by 1.29 dB and the contrast noise ratio (CNR) value is increased by 1.44. The time required for the linearization and intensity compensation is 30 ms for a multi thread method using a central processing unit (CPU) compared to 0.8 ms for compute unified device architecture (CUDA) processing using a graphics processing unit (GPU). We verified that our linearization method is appropriate for applying real time imaging of SS-OCT.

광역적 녹지계획 수립을 위한 도시열섬효과 분석 (Analysis on Urban Heat Island Effects for the Metropolitan Green Space Planning)

  • 박경훈;정성관
    • 한국지리정보학회지
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    • 제2권3호
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    • pp.35-45
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    • 1999
  • 본 연구는 Landsat TM 영상자료를 이용한 표면온도와 NDVI의 추출을 통해서 대구광역시의 열섬분포패턴과 녹지활력도를 평가하고자 하며, 아울러 녹지의 열섬완화 효과를 정량적으로 설명하기 위해서 토지피복분류를 기준으로 한 표면온도와 NDVI의 상관성을 분석하였다. 연구결과에 따르면, 자연식생으로 피복된 산림의 경우는 NDVI가 높고, 표면온도가 낮은 곳에 분포하고 있는 반면에, 피복상태가 불투수층의 인공포장재료로 구성된 도시역은 NDVI가 낮고, 표면온도가 높은 곳에 분포하고 있는 것으로 분석되었다. 이는 토지피복상태에 따른 표면온도의 차이가 인공 포장면의 증가에 따른 도시열섬효과의 간접적인 발생 원인임을 증명하는 것으로서, 향후 도시계획을 위한 녹지계획 수립시에는 열섬분포 패턴에 관한 인자가 중요하게 고려되어져야 할 것으로 사료된다.

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