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    Precise Astronomical Orientation Using Multiple Stars at Their Culmination and Analysis of Different Regression Models

    Source: Journal of Surveying Engineering:;2020:;Volume ( 146 ):;issue: 003
    Author:
    Xinjiang Liu
    ,
    Chonghui Li
    ,
    Yong Zheng
    ,
    Yinhu Zhan
    ,
    Chao Zhang
    DOI: 10.1061/(ASCE)SU.1943-5428.0000323
    Publisher: ASCE
    Abstract: Precise determination of the astronomical azimuth using the local hour angle (LHA) of Polaris is only applicable in northern middle latitudes. Therefore, to achieve fast and precise astronomical orientation in any part of the world, this study proposes continuous observations from the same station of multiple north stars and south stars at their culminating positions, thereby reducing the impact of errors in observation station longitude and time measurement. This method, which uses the regression model, determines the astronomical azimuth from the observation station to the ground target. Model validity is affected by various factors including sample size, data distribution, and data quality; therefore, suitable model conditions and individual characteristics of parametric and nonparametric regression are analyzed. Then, a two-step regression method comprising data binning followed by linear regression is proposed. Experimental data are subjected to direct linear regression, the summation of north and south star data followed by linear regression, nonparametric regression of summed data, and two-step regression of summed data. The two-step regression method produces the most accurate results that agree with those of the LHA method within a range of ±1.2120 × 10−6 rad (0.25″). Compared to the LHA method, the proposed method extends the geographical application range and eliminates the need for precise astronomical positioning prior to determining the orientation.
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      Precise Astronomical Orientation Using Multiple Stars at Their Culmination and Analysis of Different Regression Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4267763
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    contributor authorXinjiang Liu
    contributor authorChonghui Li
    contributor authorYong Zheng
    contributor authorYinhu Zhan
    contributor authorChao Zhang
    date accessioned2022-01-30T21:10:09Z
    date available2022-01-30T21:10:09Z
    date issued8/1/2020 12:00:00 AM
    identifier other%28ASCE%29SU.1943-5428.0000323.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267763
    description abstractPrecise determination of the astronomical azimuth using the local hour angle (LHA) of Polaris is only applicable in northern middle latitudes. Therefore, to achieve fast and precise astronomical orientation in any part of the world, this study proposes continuous observations from the same station of multiple north stars and south stars at their culminating positions, thereby reducing the impact of errors in observation station longitude and time measurement. This method, which uses the regression model, determines the astronomical azimuth from the observation station to the ground target. Model validity is affected by various factors including sample size, data distribution, and data quality; therefore, suitable model conditions and individual characteristics of parametric and nonparametric regression are analyzed. Then, a two-step regression method comprising data binning followed by linear regression is proposed. Experimental data are subjected to direct linear regression, the summation of north and south star data followed by linear regression, nonparametric regression of summed data, and two-step regression of summed data. The two-step regression method produces the most accurate results that agree with those of the LHA method within a range of ±1.2120 × 10−6 rad (0.25″). Compared to the LHA method, the proposed method extends the geographical application range and eliminates the need for precise astronomical positioning prior to determining the orientation.
    publisherASCE
    titlePrecise Astronomical Orientation Using Multiple Stars at Their Culmination and Analysis of Different Regression Models
    typeJournal Paper
    journal volume146
    journal issue3
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)SU.1943-5428.0000323
    page8
    treeJournal of Surveying Engineering:;2020:;Volume ( 146 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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