• Journal of Astronomy and Space Sciences
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• 제32권3호
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• pp.221-228
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• 2015

To protect and manage the Korean space assets including satellites, it is important to have precise positions and orbit information of each space objects. While Korea currently lacks optical observatories dedicated to satellite tracking, the Korea Astronomy and Space Science Institute (KASI) is planning to establish an optical observatory for the active generation of space information. However, due to geopolitical reasons, it is difficult to acquire an adequately sufficient number of optical satellite observatories in Korea. Against this backdrop, this study examined the possible locations for such observatories, and performed simulations to determine the differences in precision of optical orbit estimation results in relation to the relative baseline distance between observatories. To simulate more realistic conditions of optical observation, white noise was introduced to generate observation data, which was then used to investigate the effects of baseline distance between optical observatories and the simulated white noise. We generated the optical observations with white noise to simulate the actual observation, estimated the orbits with several combinations of observation data from the observatories of various baseline differences, and compared the estimated orbits to check the improvement of precision. As a result, the effect of the baseline distance in combined optical GEO satellite observation is obvious but small compared to the observation resolution limit of optical GEO observation.

• Journal of Astronomy and Space Sciences
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• 제32권3호
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• pp.229-235
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• 2015

We estimated the orbit of the Communication, Ocean and Meteorological Satellite (COMS), a Geostationary Earth Orbit (GEO) satellite, through data from actual optical observations using telescopes at the Sobaeksan Optical Astronomy Observatory (SOAO) of the Korea Astronomy and Space Science Institute (KASI), Optical Wide field Patrol (OWL) at KASI, and the Chungbuk National University Observatory (CNUO) from August 1, 2014, to January 13, 2015. The astrometric data of the satellite were extracted from the World Coordinate System (WCS) in the obtained images, and geometrically distorted errors were corrected. To handle the optically observed data, corrections were made for the observation time, light-travel time delay, shutter speed delay, and aberration. For final product, the sequential filter within the Orbit Determination Tool Kit (ODTK) was used for orbit estimation based on the results of optical observation. In addition, a comparative analysis was conducted between the precise orbit from the ephemeris of the COMS maintained by the satellite operator and the results of orbit estimation using optical observation. The orbits estimated in simulation agree with those estimated with actual optical observation data. The error in the results using optical observation data decreased with increasing number of observatories. Our results are useful for optimizing observation data for orbit estimation.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.143-143
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• 2022

Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2003년도 The Fifth Asian Computational Fluid Dynamics Conference
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• pp.248-250
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• 2003

Thermal analysis is performed to protect the propulsion system of low-earth-orbit earth observation satellite from unwanted thermal disaster like propellant freezing. To implement thermal design adequately, heater powers for the propulsion system estimated through the thermal analysis are decided. Based on those values anticipated herein, the average power for propulsion system becomes 22.02 watts when the only one redundant catalyst bed heater is turned on. When for the preparation of thruster firing, 25.93 watts of the average power is required. All heaters selected for propulsion components operate to prevent propellant freezing meeting the thermal requirements for the propulsion system with the worst-case average voltage, i.e. 25 volts.

• 한국항공우주학회지
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• 제49권9호
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• pp.791-800
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• 2021

본 논문은 우주 선진국 및 우리나라의 민/군 지구관측위성 개발 동향에 대해 조사하였으며, 국내 위성사업의 현황 및 향후 방향에 대해 기술하였다. 우주 선진국의 민/군 지구관측위성 개발 동향은 미국, 러시아, 프랑스, 독일, 이탈리아, 이스라엘, 중국 그리고 일본에 대해 조사하였으며, 이를 바탕으로 향후 지구관측위성 개발 방향에 대해 예측하였다. 일반적으로 위성 개발이라는 용어는 위성시스템을 구성하는 위성체, 지상체 및 발사체 등을 모두 포함하여 개발하는 개념으로 사용되지만, 본 논문에서는 위성 시스템이 아닌 위성체 자체의 개발을 중점으로 사용하였다.

• 한국위성정보통신학회논문지
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• 제10권4호
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• pp.95-100
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• 2015

오늘날 위성핵심기술은 동보성, 광역성, 고 정밀성, 항 재난성 등을 고려하여 다양한 정보를 제공할 수 있는 방향으로 개발되고 있다. 또한 분야별로 우주발사체, 위성 버스, 위성 탑재체, 지상국시스템 이외에 측위, 영상 등의 기술이 융합되는 방향으로 진화되고 있다. 특히 우주기술 기반 지구관측 정보서비스를 위해서는 막대한 초기 투자비용이 요구된다. 우주개발 분야와 연계되는 특성에 따라 세계 주요국은 우주개발프로그램을 통해 위성기술을 확보하고 있다. 이러한 위성기술동향 및 변화에 따라 우리나라는 차세대 정지궤도 지구관측위성 국내 자립 개발에 대한 필요성을 인정하고 효율적인 사업 추진을 위한 제반 세부추진 계획 등의 기반사항을 마련하고 있다. 우리나라에서도 위성 선진국들처럼 정지궤도 지구관측위성 개발과 관련한 개발목표의 효율적인 추진, 기술 감리 및 품질보증체계의 확립, 우주기술의기획, 평가 및 관리를 통해 위성 개발 프로그램의 추진계획, 진행과정 및 결과가 투명하게 수행되어야 한다. 이를 위해 체계적이고 지속적으로 정지궤도 지구관측위성 개발 사업을 일원화하여 관리할 수 있는 부처별 전문 조직 체계의 운영이 필요하다. 따라서 본 논문에서는 국내 외 정지궤도 위성 개발 사업의 관리체계를 기반으로 우리나라 차세대 정지궤도 지구관측위성 개발 사업관리 개선 방안을 제시한다.

• 대기
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• 제32권4호
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• pp.263-276
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• 2022

The observation error of satellite radiation data that assimilated into the Korean Integrated Model (KIM) was diagnosed by applying the Hollingsworth and Lönnberg and Desrozier techniques commonly used. The magnitude and correlation of the observation error, and the degree of contribution for the satellite radiance data were calculated. The observation errors of the similar device, such as Advanced Technology Microwave Sounder (ATMS) and Advanced Microwave Sounding Unit-A shows different characteristics. The model resolution accounts for only 1% of the observation error, and seasonal variation is not significant factor, either. The observation error used in the KIM is amplified by 3-8 times compared to the diagnosed value or standard deviation of first-guess departures. The new inflation value was calculated based on the correlation between channels and the ratio of background error and observation error. As a result of performing the model sensitivity evaluation by applying the newly inflated observation error of ATMS, the error of temperature and water vapor analysis field were decreased. And temperature and water vapor forecast field have been significantly improved, so the accuracy of precipitation prediction has also been increased by 1.7% on average in Asia especially.

• 대한임베디드공학회논문지
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• 제13권5호
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• pp.253-259
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• 2018

Recently, small satellite industries are rapidly changing. Demand for high performance small satellites is increasing with the expansion of Earth Observation Satellite market. A next-generation small satellites require a higher resolution image storage capacity than before. However, there is a problem that the HW configuration of the existing small satellite image storage device could not meet these requirements. The conventional data storing system uses SDRAM to store image data taken from satellites. When SDRAM is used in small satellite platform of a next generation, there is a problem that the cost of physical space is eight times higher and satellite price is two times higher than NAND Flash. Using the same satellite hardware configuration for next-generation satellites will increase the satellite volume to meet hardware requirements. Additional cost is required for structural design, environmental testing, and satellite launch due to increasing volume. Therefore, in order to construct a low-cost, high-efficiency system. This paper shows a next-generation solid state recorder unit (SSRU) using MRAM and NAND Flash instead of SDRAM. As a result of this research, next generation small satellite retain a storage size and weight and improves the data storage space by 15 times and the storage speed by 4.5 times compare to conventional design. Also reduced energy consumption by 96% compared to SDRAM based storage devices.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.320-323
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• 2008

This study attempts to establish a system extracting and monitoring cultural grounds of seaweeds (lavers, brown seaweeds and seaweed fulvescens) and abalone on the basis of both KOMPSAT-2 and Terrasar-X data. The study areas are located in the northwest and southwest coast of South Korea, famous for coastal cultural grounds. The northwest site is in a high tidal range area (on the average, 6.1 min Asan Bay) and has laver cultural grounds for the most. An semi-automatic detection system of laver facilities is described and assessed for spacebome optic images. On the other hand, the southwest cost is most famous for seaweeds. Aquaculture facilities, which cover extensive portions of this area, can be subdivided into three major groups: brown seaweeds, capsosiphon fulvescens and abalone farms. The study is based on interpretation of optic and SAR satellite data and a detailed image analysis procedure is described here. On May 25 and June 2, 2008 the TerraSAR-X radar satellite took some images of the area. SAR data are unique for mapping those farms. In case of abalone farms, the backscatters from surrounding dykes allows for recognition and separation of abalone ponds from all other water-covered surfaces. But identification of seaweeds such as laver, brown seaweeds and seaweed fulvescens depends on the dampening effect due to the presence of the facilities and is a complex task because objects that resemble seaweeds frequently occur, particularly in low wind or tidal conditions. Lastly, fusion of SAR and optic spatial images is tested to enhance the detection of aquaculture facilities by using the panchromatic image with spatial resolution 1 meter and the corresponding multi-spectral, with spatial resolution 4 meters and 4 spectrum bands, from KOMPSAT-2. The mapping accuracy achieved for farms will be estimated and discussed after field verification of preliminary results.

• 항공우주산업기술동향
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• 제9권1호
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• pp.45-54
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• 2011

최근 전 세계 다양한 지구관측 위성이 개발 및 발사됨에 따라 다양한 분야로 위성영상 자료의 활용이 확대되고 그에 따른 지구관측 위성영상 시장의 규모가 점점 커지고 있는 추세이다. 일본의 경우 빈번하게 발생하는 재해재난 분야에 대응하고, 실질적으로 피해복구 지원에 ALOS 위성자료를 적극적으로 활용하고 있으며, 전 세계 재해재난 저감 활동에 자국이 보유한 위성자료를 지원하여 국제사회에 기여하는 바가 크다고 할 수 있다. 본 논문을 통하여 일본의 원격탐사 활용 실태와 관련 정책 동향을 살펴보고자 한다. 또한, 위성기반의 원격탐사 기술이 국민 실생활에 어떻게 효율적으로 기여할 수 있을 지에 대한 방안과 관련 지원을 위해 요구되는기반시스템의구축에대해서조사하였다.