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    Image Navigation for the FY2 Geosynchronous Meteorological Satellite

    Source: Journal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 007::page 1149
    Author:
    Lu, Feng
    ,
    Zhang, Xiaohu
    ,
    Xu, Jianmin
    DOI: 10.1175/2007JTECHA964.1
    Publisher: American Meteorological Society
    Abstract: An automatic image navigation algorithm for Feng Yun 2 (FY2) spin-stabilized geosynchronous meteorological satellites was determined at the National Satellite Meteorological Center (NSMC) of the China Meteorological Administration (CMA). This paper derives the parameters and coordinate systems used in FY2 image navigation, with an emphasis on attitude and misalignment parameters. The solution to the navigation model does not depend on any landmark matching. The time series dataset of the satellite orientation with respect to the center line of the earth?s disk contains information on the two components of the attitude (orientation of the satellite spin axis) and the roll component of the misalignment. With this information, the two attitude components can be solved simultaneously, expressed as declination and right ascension (with diurnal variation in the fixed earth coordinate system) and the roll component of the misalignment (with no diurnal variation). In each spin cycle, the satellite views the sun and earth. The position of the sun is detected and used to align earth observation pixels in the scan line together with an angle subtended at the satellite by the sun and earth (?). With satellite position and attitude known, the ? angle can be calculated and predicted with sufficient accuracy. Next, the image is assembled. Prediction of the ? angle takes an important role in the image formation process, as imperfect ? angle prediction may cause east?west shift and image deformation. In the image registration process of FY2, both the east?west shift and the image deformation are compensated for. The above-mentioned solution to the navigation model requires accurate knowledge of astronomical parameters and coordinate systems. The orbital, attitude, misalignment, and ? angle parameters are produced automatically and routinely without any manual operation. Image navigation accuracy for the FY2 geosynchronous meteorological satellite approaches 5 km at the subsatellite point (SSP).
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      Image Navigation for the FY2 Geosynchronous Meteorological Satellite

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4207439
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorLu, Feng
    contributor authorZhang, Xiaohu
    contributor authorXu, Jianmin
    date accessioned2017-06-09T16:20:38Z
    date available2017-06-09T16:20:38Z
    date copyright2008/07/01
    date issued2008
    identifier issn0739-0572
    identifier otherams-66136.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207439
    description abstractAn automatic image navigation algorithm for Feng Yun 2 (FY2) spin-stabilized geosynchronous meteorological satellites was determined at the National Satellite Meteorological Center (NSMC) of the China Meteorological Administration (CMA). This paper derives the parameters and coordinate systems used in FY2 image navigation, with an emphasis on attitude and misalignment parameters. The solution to the navigation model does not depend on any landmark matching. The time series dataset of the satellite orientation with respect to the center line of the earth?s disk contains information on the two components of the attitude (orientation of the satellite spin axis) and the roll component of the misalignment. With this information, the two attitude components can be solved simultaneously, expressed as declination and right ascension (with diurnal variation in the fixed earth coordinate system) and the roll component of the misalignment (with no diurnal variation). In each spin cycle, the satellite views the sun and earth. The position of the sun is detected and used to align earth observation pixels in the scan line together with an angle subtended at the satellite by the sun and earth (?). With satellite position and attitude known, the ? angle can be calculated and predicted with sufficient accuracy. Next, the image is assembled. Prediction of the ? angle takes an important role in the image formation process, as imperfect ? angle prediction may cause east?west shift and image deformation. In the image registration process of FY2, both the east?west shift and the image deformation are compensated for. The above-mentioned solution to the navigation model requires accurate knowledge of astronomical parameters and coordinate systems. The orbital, attitude, misalignment, and ? angle parameters are produced automatically and routinely without any manual operation. Image navigation accuracy for the FY2 geosynchronous meteorological satellite approaches 5 km at the subsatellite point (SSP).
    publisherAmerican Meteorological Society
    titleImage Navigation for the FY2 Geosynchronous Meteorological Satellite
    typeJournal Paper
    journal volume25
    journal issue7
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/2007JTECHA964.1
    journal fristpage1149
    journal lastpage1165
    treeJournal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 007
    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
    yabeshDSpacePersian