• Title/Summary/Keyword: Imaging spectrometer

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The Ship Detection Using Airborne and In-situ Measurements Based on Hyperspectral Remote Sensing (초분광 원격탐사 기반 항공관측 및 현장자료를 활용한 선박탐지)

  • Park, Jae-Jin;Oh, Sangwoo;Park, Kyung-Ae;Foucher, Pierre-Yves;Jang, Jae-Cheol;Lee, Moonjin;Kim, Tae-Sung;Kang, Won-Soo
    • Journal of the Korean earth science society
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    • v.38 no.7
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    • pp.535-545
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    • 2017
  • Maritime accidents around the Korean Peninsula are increasing, and the ship detection research using remote sensing data is consequently becoming increasingly important. This study presented a new ship detection algorithm using hyperspectral images that provide the spectral information of several hundred channels in the ship detection field, which depends on high resolution optical imagery. We applied a spectral matching algorithm between the reflection spectrum of the ship deck obtained from two field observations and the ship and seawater spectrum of the hyperspectral sensor of an airborne visible/infrared imaging spectrometer. A total of five detection algorithms were used, namely spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), spectral angle mapper (SAM), and spectral information divergence (SID). SDS showed an error in the detection of seawater inside the ship, and SAM showed a clear classification result with a difference between ship and seawater of approximately 1.8 times. Additionally, the present study classified the vessels included in hyperspectral images by presenting the adaptive thresholds of each technique. As a result, SAM and SID showed superior ship detection abilities compared to those of other detection algorithms.

Deep Learning-based Hyperspectral Image Classification with Application to Environmental Geographic Information Systems (딥러닝 기반의 초분광영상 분류를 사용한 환경공간정보시스템 활용)

  • Song, Ahram;Kim, Yongil
    • Korean Journal of Remote Sensing
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    • v.33 no.6_2
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    • pp.1061-1073
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    • 2017
  • In this study, images were classified using convolutional neural network (CNN) - a deep learning technique - to investigate the feasibility of information production through a combination of artificial intelligence and spatial data. CNN determines kernel attributes based on a classification criterion and extracts information from feature maps to classify each pixel. In this study, a CNN network was constructed to classify materials with similar spectral characteristics and attribute information; this is difficult to achieve by conventional image processing techniques. A Compact Airborne Spectrographic Imager(CASI) and an Airborne Imaging Spectrometer for Application (AISA) were used on the following three study sites to test this method: Site 1, Site 2, and Site 3. Site 1 and Site 2 were agricultural lands covered in various crops,such as potato, onion, and rice. Site 3 included different buildings,such as single and joint residential facilities. Results indicated that the classification of crop species at Site 1 and Site 2 using this method yielded accuracies of 96% and 99%, respectively. At Site 3, the designation of buildings according to their purpose yielded an accuracy of 96%. Using a combination of existing land cover maps and spatial data, we propose a thematic environmental map that provides seasonal crop types and facilitates the creation of a land cover map.

Development of 1.0 Tesla Compact MRI System (1.0 Tesla 자기 공명 진단 장치의 개발)

  • Lee, H.K.;Oh, C.H.;Ahn, C.B.;Chang, Y.H.;Shin, D.W.;Lee, K.N.;Jang, K.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.11
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    • pp.129-134
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    • 1996
  • 1차 년도 G-7 개발 과제로 수행된 자기 공명 진단 장치 (Magnetic Resonance Imaging System)의 개발 내용을 간략히 소개하였다. 성공적인 IT Compact 자기 공명 진단 장치의 완성을 위해 일차적으로 (1)RF (고주파), Gradient(경사 자계), Spectrometer 등의 Hard-ware 관련 MRI 핵심부분, (2) RF, Gradient, Spectrometer, Magnet 등의 각 Sub-system을 연결, 조합, 조정하여 하나의 체계적인 시스템으로 통합하고 운영하는 과정(System Integration), (3)사용자와 시스템을 연결하는 User Interface, Data Base Management, Real time 운영 SW 등과 (4)임상에 적용하여 구체적인 성능과 효용성을 확인하는 기술 등에 대하여 집중 연구하였다. 개발 방법은 (1)지난 16년간 국내에 축적 된 연구 개발 인력들을 최대한 활용하고 (2)연구 개발을 국제화 시켜 필요한 경우 부분별로 개발 인력을 해외에서 보완하고 (3)소수 정예 전문 인력 주의와 요소 기술 또는 중요 부품을 경쟁성 검토 후 필요 시 Out-sourcing 활용으로 최저의 비용으로 개발 기간을 최소화 하는 데 두었다. 개발된 1.0Tesla자기 공명 영상 장치는 미국 물리 학회에서 규격화한 Phantom및 임상 적용을 통하여 서울대 의대 연구 팀과 지속적으로 성능을 평가해 왔다. 개발된 시스템의 해상도는 $256{\times}256$ head 영상에서 1mm 이 하의 해상도를 가짐을 resolution phantom 을 통하여 확인할 수 있었고, $512{\times}512$ 영상에서 는 약 0.5 mm 의 물체를 분리 해냄으로써 외제 시스템들 보다 우수하게 평가 되었다. 차폐 경사코일의 Eddy current영향은2%이내로 촬영 시 영향은 거의 무시할 수 있었다. 또한, 개발된 영상 기법들, 즉 Multislice/Multi Echo, Oblique angle imaging, 64 Echo train을 갖는 고속 촬영 기술들이 자기 공명 장치에 장착되어 임상 적용에 문제가 없도록 하였다. 또한 20mT/m/Amp의 강력한 능동 차폐 경사 자계 코일(Active Shield Gradient Coil)을 기본 사양으로 하고, 수신단을 최대 6개로 확장토록 하여 2차년도의 초고속 촬영 기법(EPI) 및 Phased Array 코일 촬영이 가능토록 하였다. 1차 년도 개발 과제 수행 결과와 향후 개발 과제를 바탕으로 최종 목표인 국제 경쟁력이 있는 자기 공명 진단 장치 즉 기능과 영상의 질은 선진국 제품과 동일하거나 우수하되, 저가격을 구현한 상용화 제품이 완성되어, 첨단 의료기기로서 산업 구조 고도화에 기여하고 수입대체 뿐만 아니 라 수출을 통한 국익 창출과 국가의 기술을 통한 위상 제고에 기여되길 기대한다.

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Effects of Aerosol Optical Properties on Upward Shortwave Flux in the Presence of Aerosol and Cloud layers (구름과 에어로솔의 혼재시 에어로솔의 광학특성이 상향 단파 복사에 미치는 영향)

  • Lee, Kwon-Ho
    • Korean Journal of Remote Sensing
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    • v.33 no.3
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    • pp.301-311
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    • 2017
  • Aerosol optical properties as well as vertical location of layer can alter the radiative balance of the Earth by reflecting and absorbing solar radiation. In this study, radiative transfer model (RTM) and satellite-based analysis have been used to quantify the top-of-atmosphere (TOA) radiative effect of aerosol layers in the cloudy atmosphere of the northeast Asia. RTM simulation results show that the atmospheric warming effect of aerosols increases with their height in the presence of underlying cloud layer. This relationship is higher for stronger absorbing aerosols and higher surface albedo condition. Over study region ($20-50^{\circ}N$, $110-140^{\circ}E$) and aerosol event cases, it is possible to qualitatively identify absorbing aerosol effects in the presence of clouds by combining the UV Absorbing Aerosol Index (AAI) derived from Total Ozone Mapping Spectrometer (TOMS), cloud parameters derived from the Moderate Resolution Imaging Spectro-radiometer (MODIS), with TOA Upward Shortwave Flux (USF) from the Clouds and the Earth's Radiant Energy System (CERES). As the regional-mean radiative effect of aerosols, 6 - 26 % lower the USF between aerosols and cloud cover is taken into account. These results demonstrate the importance of estimation for the accurate quantification of aerosol's direct and indirect effect.

MODIS-estimated Microphysical Properties of Clouds Developed in the Presence of Biomass Burning Aerosols (MODIS 관측자료를 이용한 러시아 산불 영향 하에 발달한 구름의 미세 물리적 특성 연구)

  • Kim, Shin-Young;Sohn, Byung-Ju
    • Korean Journal of Remote Sensing
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    • v.24 no.4
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    • pp.289-298
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    • 2008
  • An algorithm was developed to retrieve both cloud optical thickness and effective particle radius considered the aerosol effect on clouds. This study apply the algorithm of Nakajima and Nakajima (1995) that is used to retrieve cloud optical thickness and effective particle radius from visible, near infrared satellite spectral measurements. To retrieve cloud properties, Look-up table (LUT) was made under different atmospheric conditions by using a radiative transfer model. Especially the vertical distribution of aerosol is based on a tropospheric aerosol profile in radiative transfer model. In the case study, we selected the extensive forest fire occurred in Russia in May 2003. The aerosol released from this fire may be transported to Korea. Cloud properties obtained from these distinct atmospheric situations are analysed in terms of their possible changes due to the interactions of the clouds with the aerosol particle plumes. Cloud properties over the East sea at this time was retrieved using new algorithm. The algorithm is applied to measurements from the MODerate Resolution Imaging Spectrometer (MODIS) onboard the Terra spacecrafts. As a result, cloud effective particle radius was decreased and cloud optical thickness was increased during aerosol event. Specially, cloud effective particle radius is hardly greater than $20{\mu}m$ when aerosol particles were present over the East Sea. Clouds developing in the aerosol event tend to have more numerous but smaller droplets.

The development of statistical methods for retrieving MODIS missing data: Mean bias, regressions analysis and local variation method (MODIS 손실 자료 복원을 위한 통계적 방법 개발: 평균 편차 방법, 회귀 분석 방법과 지역 변동 방법)

  • Kim, Min Wook;Yi, Jonghyuk;Park, Yeon Gu;Song, Junghyun
    • Journal of Satellite, Information and Communications
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    • v.11 no.4
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    • pp.94-101
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    • 2016
  • Satellite data for remote sensing technology has limitations, especially with visible range sensor, cloud and/or other environmental factors cause missing data. In this study, using land surface temperature data from the MODerate resolution Imaging Spectro-radiometer(MODIS), we developed retrieving methods for satellite missing data and developed three methods; mean bias, regression analysis and local variation method. These methods used the previous day data as reference data. In order to validate these methods, we selected a specific measurement ratio using artificial missing data from 2014 to 2015. The local variation method showed low accuracy with root mean square error(RMSE) more than 2 K in some cases, and the regression analysis method showed reliable results in most cases with small RMSE values, 1.13 K, approximately. RMSE with the mean bias method was similar to RMSE with the regression analysis method, 1.32 K, approximately.

과학기술위성3호 사용자를 위한 관측요청 및 관측데이터 인터페이스

  • Lee, Seung-Heon;Son, Jun-Won;Park, Jong-O;Chae, Tae-Byeong;An, Sang-Il;Lee, Seung-U;Lee, Cheol
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.190.1-190.1
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    • 2012
  • 과학기술위성3호는 170kg의 소형위성으로 2006년 사업을 착수하였으며, 올 2012년 12월에 러시아에서 발사할 예정이다. 주탑재체는 다목적 적외선 영상시스템 (MIRIS, Multi-Purpose IR Imaging System)으로 천문연에서 개발을 담당하였으며 우주관측과 지구관측을 수행한다. 우주관측은 $0.9-2{\mu}m$ 대역을 관측에서 은하면의 근적외선 방출광을 탐사하여 우리은하 고온가스의 기원 및 성간 난류의 물리적 특성을 연구한다. 또한 황도극지방을 추가로 관측하여 적외선 우주배경복사의 기원의 연구에 활용될 것이다. 지구관측은 $3-5{\mu}m$의 파장대역으로 한반도의 재해 및 환경변화의 연구에 활용될 예정이다. 부탑재체는 소형영상분광기 (COMIS, Compact Imaging Spectrometer)로 공주대에서 개발을 하였으며 $0.4-1.05{\mu}m$ 파장대역의 지표면 분광영상의 획득이 주요 임무이다. 소형영상분광기를 위하여 다양한 관측방법 (Strip, Stereo, Slow Skew)을 시도하며, 관측된 분광영상은 수질, 작황, 황사, 근해 환경변화 등 다양한 분야에 활용될 것으로 기대한다. 우주관측임무는 확정되어 주어진 임무기간동안 정해진 일정대로 우주관측을 수행되며, 지구관측임무는 사용자의 요구에 따라 관측지역 및 관측 횟수가 추후에 결정될 것이다. 과학기술위성3호는 기술적으로 기존 과학기술위성 시리즈 보다 향상된 위성체, 탑재체 시스템으로 주어진 우주 및 지구과학 임무를 성공적으로 수행할 것으로 예상되며, 또한 우주 및 지구과학의 연구를 위해 여러 분야에서 활동하는 국내 사용자의 적극적인 참여도 기대하고 있다. 본 발표에서는 다양한 사용자의 관측요청 접수를 위한 지상관제시스템의 설명과 임무관측을 통해 획득된 관측데이터의 전달 방법에 대해 논의한다.

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Aerosol Optical Thickness Retrieval Using a Small Satellite

  • Wong, Man Sing;Lee, Kwon-Ho;Nichol, Janet;Kim, Young J.
    • Korean Journal of Remote Sensing
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    • v.26 no.6
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    • pp.605-615
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    • 2010
  • This study demonstrates the feasibility of small satellite, namely PROBA platform with the compact high resolution imaging spectrometer (CHRIS), for aerosol retrieval in Hong Kong. The rationale of our technique is to estimate the aerosol reflectances by decomposing the Top of Atmosphere (TOA) reflectances from surface reflectance and Rayleigh path reflectances. For the determination of surface reflectances, the modified Minimum Reflectance Technique (MRT) is used on three winter ortho-rectified CHRIS images: Dec-18-2005, Feb-07-2006, Nov-09-2006. For validation purpose, MRT image was compared with ground based multispectral radiometer measurements and atmospherically corrected Landsat image. Results show good agreements between CHRIS-derived surface reflectance and both by ground measurement data as well as by Landsat image (r>0.84). The Root-Mean-Square Errors (RMSE) at 485, 551 and 660nm are 0.99%, 1.19%, and 1.53%, respectively. For aerosol retrieval, Look Up Tables (LUT) which are aerosol reflectances as a function of various AOT values were calculated by SBDART code with AERONET inversion products. The CHRIS derived Aerosol Optical Thickness (AOT) images were then validated with AERONET sunphotometer measurements and the differences are 0.05~0.11 (error=10~18%) at 440nm wavelength. The errors are relatively small compared to those from the operational moderate resolution imaging spectroradiometer (MODIS) Deep Blue algorithm (within 30%) and MODIS ocean algorithm (within 20%).

On-line Magnetic Resonance Quality Evaluation Sensor

  • Kim, Seong-Min;McCarthy, Michael J.;Chen, Pictiaw;Zion, Boaz
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.314-324
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    • 1996
  • A high speed NMR quality evaluation sensor was designed , constructed and tested . The device consists of an NMR spectrometer coupled to a conveyor system. The conveyor was run at speeds ranging from 0 to 250 mm/s. Spectral of avocado fruits and one-dimensional magnetic resonance images of pickled olives were acquired while the samples were moving on a conveyor belt mounted through a 20Tesla NMR magnet with a 20 mm diameter surface coil and a 150 mm diameter imaging coil respectively. Fro a magnetic resonance spectrum analysis, motion through variations in the magnetic field tends to narrow spectral line width just like using sample rotation in high resolution NMR to narrow spectral line width. Spectrum analysis was used to detect the dry weight of avocado fruits using the ratio oil and water resonance peaks. Good correlations maximum r=0.970@ 50 mm/s and minimum r=0.894@250mm/s ) between oil and water resonance peak ratio and dry weight of avocados were observed at speeds ra ging from0 to 250mm/s. For the application of magnetic resonance imaging (MRI) method, the projections were used to distinguish between pitted and non-pitted olives . Effect of fruit position in the coil was tested and coil degree effects were noticed when projects were generated under dynamic conditions. Various belt speeds (up to 250mm/s) were tested and detection results were compared to static measurements. Higher classification errors were occurred at dynamic conditions compared to errors while olives were at rest.

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Infrared Spectro-Photomeric Survey Missions: NISS & SPHEREx

  • Jeong, Woong-Seob;Yang, Yujin;Park, Sung-Joon;Pyo, Jeonghyun;Kim, Minjin;Moon, Bongkon;Lee, Dae-Hee;Park, Won-Kee;Park, Young-Sik;Jo, Youngsoo;Kim, Il-Joong;Ko, Jongwan;Seo, Hyun Jong;Ko, Kyeongyeon;Kim, Seongjae;Hwang, Hoseong;Song, Yong-Seon;Lee, Jeong-Eun;Im, Myungshin;Matsumoto, Toshio
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.57.2-57.2
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    • 2019
  • The NISS (Near-infrared Imaging Spectrometer for Star formation history) onboard NEXTSat-1 was successfully launched on last December and is now under the operation phase. The capability of both imaging and spectroscopy is a unique function of the NISS. It has realized the imaging spectroscopy (R~20) with a wide field of view of $2{\times}2deg$. in a wide near-infrared range from 0.95 to $2.5{\mu}m$. The major scientific mission is to study the cosmic star formation history in the local and distant universe. It also demonstrated the space technologies related to the infrared spectro-photometry in space. The NISS is performing the imaging spectroscopic survey for local star-forming galaxies, clusters of galaxies, star-forming regions, ecliptic deep fields and so on. As an extension of the NISS, the SPEHREx (Spectro-Photometer for the History of the Universe Epoch of Reionization, and Ices Explorer) was selected as the NASA MIDEX (Medium-class Explorer) mission (PI Institute: Caltech). As an international partner, KASI will participate in the development and the science for SPHEREx. It will perform the first all-sky infrared spectro-photometric survey to probe the origin of our Universe, to explore the origin and evolution of galaxies, and to explore whether planets around other stars could harbor life. Compared to the NISS, the SPHEREx is designed to have a much wider FoV of $3.5{\times}11.3deg$. as well as wider spectral range from 0.75 to $5.0{\mu}m$. Here, we introduce the status of the two space missions.

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