The research on image processing technology of the star tracker

Abstract

optics Top plate Rase plate Rot tom plate Aps detector Cuve r plates CB baffle ABSTRACTAs the core of visual sensitivity via imaging, image processing technology, especially for star tracker, is mainly characterized by such items as image exposure, optimal storage, background estimation, feature correction, target extraction, iteration compensation. This paper firstly summarizes the new research on those items at home and abroad, then, according to star tracker's practical engineering, environment in orbit and lifetime information, shows an architecture about rapid fusion between multiple frame images, which can be used to restrain oversaturation of the effective pixels, which means star tracker can be made more precise, more robust and more stable.

A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image

“…In traditional astronomical image processing research, vast works have already been devoted to the development of algorithms in order to remove interferences in astronomical images. The interference suppression algorithm based on superposition of multiple images can remove these interferences [ 13 , 14 , 15 , 16 , 17 ]. Methods based on point spread function (PSF) [ 18 , 19 , 20 , 21 ] function by detecting their peaked profile which is incompatible with the extended point spread function of sources imaged by the atmosphere.…”