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    Optimization of an Instance-Based GOES Cloud Classification Algorithm 

    Source: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 001:;page 36
    Author(s): Bankert, Richard L.; Wade, Robert H.
    Publisher: American Meteorological Society
    Abstract: An instance-based nearest-neighbor algorithm was developed for a Geostationary Operational Environmental Satellite (GOES) cloud classifier. Expert-labeled samples serve as the training sets for the various GOES image ...
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    Comparison of GOES Cloud Classification Algorithms Employing Explicit and Implicit Physics 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 007:;page 1411
    Author(s): Bankert, Richard L.; Mitrescu, Cristian; Miller, Steven D.; Wade, Robert H.
    Publisher: American Meteorological Society
    Abstract: Cloud-type classification based on multispectral satellite imagery data has been widely researched and demonstrated to be useful for distinguishing a variety of classes using a wide range of methods. The research described ...
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    NexSat: Previewing NPOESS/VIIRS Imagery Capabilities 

    Source: Bulletin of the American Meteorological Society:;2006:;volume( 087 ):;issue: 004:;page 433
    Author(s): Miller, Steven D.; Hawkins, Jeffrey D.; Kent, John; Turk, F. Joseph; Lee, Thomas F.; Kuciauskas, Arunas P.; Richardson, Kim; Wade, Robert; Hoffman, Carl
    Publisher: American Meteorological Society
    Abstract: Under the auspices of the National Polar-orbiting Operational Environmental Satellite System's (NPOESS) Integrated Program Office (IPO), the Naval Research Laboratory (NRL) has developed ?NexSat? (www.nrlmry.navy.mil/nex ...
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    DSpace software copyright © 2002-2015  DuraSpace
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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