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    The Use of Euclidean Geometric Distance on RGB Color Space for the Classification of Sky and Cloud Patterns 

    Source: Journal of Atmospheric and Oceanic Technology:;2010:;volume( 027 ):;issue: 009:;page 1504
    Author(s): Mantelli Neto, Sylvio Luiz; von Wangenheim, Aldo; Pereira, Enio Bueno; Comunello, Eros
    Publisher: American Meteorological Society
    Abstract: The current work describes the use of multidimensional Euclidean geometric distance (EGD) and Bayesian methods to characterize and classify the sky and cloud patterns present in image pixels. From specific images and using ...
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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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