Abstract
The star tracker is widely used for high-accuracy missions due to its high accuracy position high autonomy and low power consumption. On the other hand, the ability of interference suppression of the star tracker has always been a hot issue of concern. A SLIC-DBSCAN-based algorithm for extracting effective information from a single image with strong interference has been developed in this paper to remove interferences. Firstly, the restricted LC (luminance-based contrast) transformation is utilized to enhance the contrast between background noise and the large-area interference. Then, SLIC (the simple linear iterative clustering) algorithm is adopted to segment the saliency map and in this process, optimized parameters are harnessed. Finally, from these segments, features are extracted and superpixels with similar features are combined by using DBSCAN (density-based spatial clustering of applications with noise). The proposed algorithm is proved effective by successfully removing large-area interference and extracting star spots from the sky region of the real star image.
Highlights
All experiments were conducted for real star images on software platforms in order to verify the superiority of our method
Since the star image is the only data source for the star tracker, the presence of large-area interference is fatal for its performance
In order to ensure the safety of the spacecraft when the star tracker breaks down, the method based on simple linear iterative clustering (SLIC)-density-based spatial clustering of applications with noise (DBSCAN) is proposed for segmenting the sky and interference region in a single star image
Summary
A typical star image consists of dozens of bright star spots with a dark background [38]. It produces linear stripes when light crosses the star image planes, including high-energy particles especially protons, satellites tracks, meteors or rapidly moving objects. This kind of interference may appear anywhere in the star image. Regular-shaped interference in Figure 2b,c results in a rise in gray levels of the local pixels of star images. These interferences may be brought about due to the design flaw of the light shield, satellite components or their reflected light entering the field of view. The algorithms implemented in FPGA cannot output the accurate attitude quaternion
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