Volker Asmus

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Questions concerning the problem of choosing adequate recognition algorithms for Earth, multispectral, remote sensing data are considered. A system of supervised classification based on the strategy of maximum likelihood for normally distributed vectors of attributes is presented. A system of cluster analysis, including an algorithm of K-means and the(More)
This paper presents a software system for satellite data processing developed at the Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, together with the research center Planeta of Rosgidromet RF. It also describes how this system is used for applied tasks in remote sensing of the Earth.
Das Durchführen automatisierter toolgestützter Tests ist nicht nur aus wirtschaftlichen Gründen sinnvoll, sondern auch aus Qualitätsgründen geboten. In diesem Beitrag werden wirtschaftliche Kriterien benannt, die zur Bewertung herangezogen werden können, wenn es um die Entscheidung über den Umfang von Testmethoden geht. Einsatzbereiche für das Testen Das(More)
Data obtained by Russian and foreign polar-orbital satellites for remote sensing (RS) of the Earth is used for monitoring the ice cover of the polar regions. State Research Center of Space Hydrometeorology “Planeta” (SRC “Planeta”) and the Institute of Computational Mathematics and Mathematical Geophysics (CMMGI), have developed methods and technologies for(More)
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