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New approach for pixelization of big astronomical data for machine vision purpose

Abstract:

In this paper we presented the new algorithm for pixelization of astronomical data in celestial sphere. This algorithm is used for partition and analysis of the large astronomical catalogues that contain data of up to billion objects. The proposed algorithm for pixelization can be applied for indexing of the objects positions in the celestial sphere. This allows the quick search in the large astronomical databases. The search results of indexed objects can be used by different consumers such as robotic telescopes, ground and flying robots that need to guidance, navigate and even to track the situation in celestial sphere. The problems of sphere partition to pixels by different methods are also described in the paper.