• Title/Summary/Keyword: coordinate conversions

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Accuracy Analysis for Conversion of the Cadastral Coordinate System into the Global Coordinate System in Areas between Cadastral Datum (지적 원점계열 인접 지역에서 지적좌표의 세계좌표 변환 정확도 분석)

  • Hong, Sung-Eon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.11
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    • pp.4228-4233
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    • 2010
  • This study analyzed the positional accuracy of cadastral control points where central datum points and eastern datum points meet in the area of standard datum of geographic coordinate, in order to suggest the possibility of converting cadastral coordinates into global coordinates in the future in areas between cadastral datum. 12 GPS observation data points were extracted from the station of triangulation in the experimental area, and the accuracy of coordinate conversions in the area where central and eastern datum points meet was analyzed. The results show that the x-coordinate RMSE was ${\pm}0.0014m$ and the y-coordinate RMSE was ${\pm}0.0011m$. Such excellent results indicated that it is possible to convert to the global coordinate system. Thus, in converting to the global coordinate system, it appears possible to convert even borderline datum point areas if points with stable outcomes are selected by inspecting various triangulation markers, then used to carry out the conversion.

LEO Satellite Position and Velocity Coordinate Transformation Using GPS CNAV (GPS CNAV 데이터를 이용한 저궤도 위성의 위치와 속도의 좌표 변환)

  • Kim, Ghang-Ho;Kim, Chong-Won;Kee, Chang-Don;Choi, Su-Jin
    • Journal of Advanced Navigation Technology
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    • v.17 no.3
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    • pp.271-278
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    • 2013
  • In this paper, ECEF to ECI coordinate transformation algorithm which uses EOP parameters in GPS civil navigation message is introduced, and ECEF to ECI coordinate transformation simulation results were analyzed. The ECEF to ECI coordinate transformation includes GPS to UTC, and UTC to other types of time conversions and EOP data processing algorithms. The ECEF to ECI coordinate conversion algorithm was certified using real LEO satellite position, velocity GPS data, and EOP data which offered by the Earth Orientation Center.

A Deep Space Orbit Determination Software: Overview and Event Prediction Capability

  • Kim, Youngkwang;Park, Sang-Young;Lee, Eunji;Kim, Minsik
    • Journal of Astronomy and Space Sciences
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    • v.34 no.2
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    • pp.139-151
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    • 2017
  • This paper presents an overview of deep space orbit determination software (DSODS), as well as validation and verification results on its event prediction capabilities. DSODS was developed in the MATLAB object-oriented programming environment to support the Korea Pathfinder Lunar Orbiter (KPLO) mission. DSODS has three major capabilities: celestial event prediction for spacecraft, orbit determination with deep space network (DSN) tracking data, and DSN tracking data simulation. To achieve its functionality requirements, DSODS consists of four modules: orbit propagation (OP), event prediction (EP), data simulation (DS), and orbit determination (OD) modules. This paper explains the highest-level data flows between modules in event prediction, orbit determination, and tracking data simulation processes. Furthermore, to address the event prediction capability of DSODS, this paper introduces OP and EP modules. The role of the OP module is to handle time and coordinate system conversions, to propagate spacecraft trajectories, and to handle the ephemerides of spacecraft and celestial bodies. Currently, the OP module utilizes the General Mission Analysis Tool (GMAT) as a third-party software component for high-fidelity deep space propagation, as well as time and coordinate system conversions. The role of the EP module is to predict celestial events, including eclipses, and ground station visibilities, and this paper presents the functionality requirements of the EP module. The validation and verification results show that, for most cases, event prediction errors were less than 10 millisec when compared with flight proven mission analysis tools such as GMAT and Systems Tool Kit (STK). Thus, we conclude that DSODS is capable of predicting events for the KPLO in real mission applications.

Determination of Target Position with BRW Stereoatic Frame in non-orthogonal CT scans (비직교성 전산화단층촬영에서 뇌정위수술용 좌표계를 이용한 표적위치 결정)

  • Park, Tae-Jin;Kim, Ok-Bae;Son, Eun-Ik
    • Progress in Medical Physics
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    • v.3 no.1
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    • pp.53-62
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    • 1992
  • Stereotactic implantation of intracranial lesions, and the development of stereotactic convergent irradiation, radiosurgery, techniques have to obtain the accurate coordinates of the tumor locations and that of critical organ. Computed tomography(CT) provides relatively precise imformations of tumor localization and surround the normal organs for conventional radiotherapy. This CT image use to extend for stereotactic radiosurgery procedures. Since the convergent irradiation technique in linear accelerator requires the target center coincident with gantry isocenter or radosurgery frame, the target coordinates must be described in accurately. We used the BRW stereotactic system for describing the target position in CT images This algorithm provides the coordinate conversions for orthogonal or non-orthogonal CT scan image. In this experiments, the target positions have shown the small discripancy within :to.3mm uncertanty in several known target positions in the phantom through the provided programs and it compared to that of BRW stereotactic systems.

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Evaluation of the Applicability of Solution Methods for 3D Conversion from Cartesian to Geodetic Coordinates (3차원 직교좌표의 측지좌표 전환을 위한 해석기법의 적용성 평가)

  • Lee, Yong Chang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.173-180
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    • 2014
  • The methods for implementing geocentric to geodetic coordinates conversion could be classified into two, which are respectively the closed-form and the iterative-form solutions. Essential conditions to achieve performances are accuracy, speed of convergence and/or simplicity of it's algorithm. Also, the algorithm must be valid at any of inner and outer points in the Earth, including center of Earth, the equatorial plane and the polar axis that are known as 'special regions'. This research planned for evaluating the feasibility of coordinates conversion in special regions, and comparing the accuracy of conversion solutions by using 10 methods for conversions from geocentric to geodetic coordinates. By comparing performances of statistical tests(with accuracy and solving success in special regions), Vermeille(2011) and Karney(2011) methods brought out more satisfied and finer results than other methods.