• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.217-233
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• 2020

This study evaluated the urban vitality of Daegu metropolitan city in 2018 using emerging geographic data such as spatial big data, Wi-Fi AP(access points) and nighttime light satellite image. The emerging geographic data were used in this research to quantify human activities in the city more directly at various spatial and temporal scales. Three spatial big data such as mobile phone data, credit card data and public transport smart card data were employed to reflect social, economic and mobility aspects of urban vitality while public Wi-Fi AP and nighttime light satellite image were included to consider virtual and physical aspects of the urban vitality. With PCA (Principal Component Analysis), five indicators were integrated and transformed to the urban vitality index at census output area by temporal slots. Results show that five clusters with high urban vitality were identified around downtown Daegu, Daegu bank intersection and Beomeo intersection, Seongseo, Dongdaegu station and Chilgok 3 district. Further, the results unveil that the urban vitality index was varied over the same urban space by temporal slots. This study provides the possibility for the integrated use of spatial big data, Wi-Fi AP and nighttime light satellite image as proxy for measuring urban vitality.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.4_1
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• pp.319-326
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• 2014

The accurate geo-referencing processes that apply ground control points is prerequisite for effective end use of HRSI (High-resolution satellite imagery). Since the conventional control point acquisition by human operator takes long time, demands for the automated matching to existing reference data has been increasing its popularity. Among many options of reference data, the airborne LiDAR (Light Detection And Ranging) data shows high potential due to its high spatial resolution and vertical accuracy. Additionally, it is in the form of 3-dimensional point cloud free from the relief displacement. Recently, a new matching method between LiDAR data and HRSI was proposed that is based on the image projection of whole LiDAR data into HRSI domain, however, importing and processing the large amount of LiDAR data considered as time-consuming. Therefore, we wmotivated to ere propose a local LiDAR chip generation for the HRSI geo-referencing. In the procedure, a LiDAR point cloud was rasterized into an ortho image with the digital elevation model. After then, we selected local areas, which of containing meaningful amount of edge information to create LiDAR chips of small data size. We tested the LiDAR chips for fully-automated geo-referencing with Kompsat-2 and Kompsat-3 data. Finally, the experimental results showed one-pixel level of mean accuracy.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.10
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• pp.856-867
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• 2018

This paper presents the applicability of MIMO joint decoding to dual-contact satellite systems in which two LEO satellites using X-band frequency band are transmitting each image data to two ground station antennas, simultaneously. When two satellites are closely positioned within the looking angle of the two antennas, each satellite interferes with each other by the relative antenna gain corresponding to an offset angle and this might cause the performance degradation without interference mitigation. To mitigate the performance degradation, SM MIMO techniques for joint decoding are applied. Especially, the relative antenna gain of ground station depending on the angle difference between two satellites in ground station antenna plays an important role in modelling the dual-contact satellite systems. The condition number of MIMO channel including the antenna gain calculated from the mathematical gain pattern model was primarily analyzed. Simulation results showed that the SM MIMO techniques using detection schemes such as ZF-SIC, MMSE-SIC, and ML can be applicable to dual-contact satellite systems.

• Journal of IKEEE
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• v.26 no.2
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• pp.211-218
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• 2022

This paper presents a S-band phased array antenna system for receiving LEO satellite telemetry signals. The proposed antenna, which is performed to be beam-tiled along the elevation direction, consists of 16 sub-array assemblies, 16 active circuit modules, a perpendicular feed network and a control/power unit. In order to precisely track an LEO satellite, the developed antenna is placed with its elevation axis along the projected trajectory of the satellite on the earth. The center of antenna aperture is facing to the maximum elevation angle in the LEO trajectory. The beam-tilted angles for tracking LEO satellite are obtained by calculating accurately satellite points. Satellite tracking measurements are carried out in the range of ±30° with the respect to the maximum elevation angle. The S/N ratio of 16.5 dB and the Eb/No of 13.3 dB at the maximum elevation angle are obtained from the measurements. The measured result agrees well with the pre-analyzed system margin.

• Bulletin of the Korean Space Science Society
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• 2011.04a
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• pp.33.2-33.2
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• 2011

현재 한국항공우주연구원에서 개발 중인 저궤도 위성에는 원격측정명령계 유닛 중의 하나로 S 대역 송신기가 탑재된다. S 대역 송신기는 위성의 상태 정보와 저장된 데이터를 받아 이를 S 대역으로 변조하여 RF 신호로 전송한다. 지상국에서는 이를 수신하여 다시 복조 후 데이터를 추출해 낸다. S 대역 송신기는 위성과 지상간의 링크버짓을 만족하도록 일정한 성능을 유지해야 한다. 이를 위해 발사 전 송신기의 성능을 측정하고 요구조건을 만족하는지 확인한다. 기본적인 성능 측정 이외에 송신기에 요구되는 또 하나의 요소는 측정 이후 일정 시간이 지난 후에도 송신기 성능에 저하가 없는지를 확인하는 것이다. 이를 위해 AIT 전 기간에 걸쳐 송신기의 성능 측정 결과에 대한 추이를 지켜보아 송신기가 가지고 있는 경향성을 판단한다. 이 논문에서는 이에 대한 결과 값을 제시하고 송신기의 성능과 경향성에 대한 분석을 수행하였다.

• Bulletin of the Korean Space Science Society
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• 2004.04a
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• pp.90-90
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• 2004

과학기술위성 1호는 2003년 9월 27일 성공적으로 발사된 후 초기 운용 과정을 거친 이후 탑재체의 정상적인 운용에 들어갔다. 과학기술위성 1호에 실린 탑재체는 원자외선 분광기, 우주물리 관측기, 자료수집 시스템 등이 있으며, 탑재체에서 발생된 데이터는 X-band 대역의 RF 시스템인 PDTx를 통해 지상으로 전송된다. 최근의 위성 운용에 의하면 하루 평균 수신량은 원자외선 분광기와 우주 물리 관측기의 자료가 약50Mbyte이며, 수신된 자료는 탑재체팀의 서버로 전송되어 사용자가 데이터를 처리할 수 있도록 되어 있다. (중략)

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.579-581
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• 1998

본 연구에서는 $11.7GHz{\sim}12.2GHz$ 주파수 대역의 무궁화 위성방송 송 수신기 정합표준 2.0과 디지털 위성방송 제한수신 정합 잠정표준을 만족하는 무궁화 위성방송 수신시스템 분야에 대한 연구를 수행하였다. 상위 표준에 의거하여 제한 수신모듈을 탑재한 디지털 위성방송 수신장치 개발에 따른 타당성과 신뢰성을 검증하고자 Subscribed and Per-Per-View 채널 디스크램블링 및 가입자 관리(Subscriber Management)에 필요한 데이터 ECM, EMM, RCM 등의 데이터 축출과 처리과정을 모델링하고 모의 실험 수신기(IRD : Integrated Receiver and Decoder)를 제작하여 한국 전자통신연구원에서 작성한 "제한 수신 시스템 신뢰성 검증시험절차서"에 따라 동작반응을 시험하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.20 no.2
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• pp.155-164
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• 2002

In this study, in order to discuss the geometric correction methods of high-resolution IKONOS satellite image, the existing polynomial model and RFM which is able to rectify satellite image without auxiliary data are applied to IKONOS satellite image data. Then the accuracy of ground point versus number of GCPs and each order of RFM are assessed. A numerical instability is removed by application of Tikhonov regularization method. As the results of this study, the root mean square errors of RFM is decreased more than 2 pixels in comparison with the two dimensional polynomial model.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.1
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• pp.67-72
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• 2003

In this paper, solar cell array of KOMPSAT 1 was modeled and analyzed. The modeling results of solar array were achieved by neural algorithm, which is a powerful nonlinear system modeling tool. Using solar cell array modeling, the solar cell array was analyzed and verified by simulation considering solar cell data of KOMPSAT 1. The characteristics curves and power generation of the solar array are analyzed by using the modeling.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.23-24
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• 2009

허베이스피리트호 원유유출 사고는 2007년 12월7일 아침 7시6분경 서해안 만리포 북서쪽 10km 해상에서 크레인을 적재한 1만1800t급 바지선이 정박 중인 홍콩 선적 유조선 허베이 스피리트호(14만6000t급)와 부딪치면서 발생했다. 이와 같은 기름 유출 사고의 경우, 유출 범위를 정확하게 이해하는 것이 중요하다. 여기서는 위 사고 기간에 얻어진 인공위성 자료를 이용하여 기름 유출을 탐지하기 위한 연구결과를 소개한다. 광학과 마이크로파데이터에 대해 유출 범위의 계산 및 해석 알고리듬에 대한 현재까지의 결과를 소개한다. 광학데이터로는 아리랑 2호(다목적실용위성 2호, KOMPSAT II)) MSC(Multi Spectral Camera)자료가 사용되었으며, 합성개구레이더로는 ENVISAT ASAR, TerraSAR-X 및 ALOS PALSAR의 자료가 사용되었다.