Space weak point targets detection is very useful
in non cooperative target detection. Influenced by the
chip noise and space environmental noise, weak point targets
detection becomes a difficulty. In the paper, firstly the star is
extracted from the picture, the background picture is
filtered to reduce the noise, and then the moving distance
between adjacent pictures is calculated, after picture
overlapping between adjacent pictures, the energy of the
weak point target is improved, with a appropriate threshold,
the weak point target is extracted. The proposed method can
be widely utilized in space exploration, space defense etc.
In this paper, a real-time calibration method for relative alignments between multiple heads star tracker (MHST) heads
based on the invariability of inter-star angle principle is presented. Firstly, the ill effects of relative misalignments on
accuracy of MHST attitude based on star-fusion are analyzed. Then, the invariability of inter-star angle principle and the
changing feature of relative alignments are applied to build a kalman filtering model to estimate the errors. Finally, a
simulation is used to illustrate that the method meets well the real-time requirement of accurate relative alignments of
MHST.
In this paper, firstly an extended DFMC Structure is proposed, then HQF jump period in extended DFMC is presented. Considering temporal-view and interview prediction structure, HQF location is determined. From the HQF, an enhance LQF is proposed. Then considering the HQF and enhance LQF, improved interview prediction is proposed. Finally bit allocation in the proposed multi-view is proposed. Experimental results show that the proposed method can achieve better performance than the previous schemes.
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