A star point extraction method for all-time star sensor based on multi-frame accumulation algorithm
A multi-frame accumulation, star point extraction technology, applied in the field of star map recognition, can solve the problems of increasing the number of extracted star points, difficulty in target extraction, low signal-to-noise ratio, etc. Noise ratio, the effect of filtering out noise interference
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Embodiment 1
[0045] Embodiment one: see figure 1 As shown, for the original star map to be processed, embodiments of the present invention provide a method for extracting star points of star sensors based on multi-frame accumulation algorithm, including the following steps:
[0046] Step 1: Star map denoising.
[0047]Step 2: Preliminary superposition of continuous star maps. The cumulative star map can be obtained by superimposing n frames of continuous denoising star maps at the pixel level (n should not be too large, and its value is related to the platform movement speed). The star point signal in a single frame star map is distributed on multiple pixels. Due to the change of shooting conditions, the signal position of the same star point in the star map between adjacent frames will shift, and the star point signal in the star map after accumulation The size of the diffuse spot will further expand.
[0048] Step 3: Downsampling of the star map. The accumulated star map generated in...
Embodiment 2
[0087] Embodiment 2: The difference between this embodiment and the all-time star sensor star point extraction method based on the multi-frame accumulation algorithm described in Embodiment 1 is that the image denoising algorithm adopts other denoising algorithms except the median subtraction denoising algorithm , such as median filter, Wiener filter, etc.
Embodiment 3
[0088] Embodiment three: the difference between this embodiment and the all-time star sensor star point extraction method based on the multi-frame accumulation algorithm described in embodiment one is that the connected domain division algorithm selects other star point coarse positioning algorithms, such as based on line marking connected domain extraction method.
[0089] The basic processing unit of the connected domain extraction method based on the line labeling method is a straight line segment. Firstly, the binary star image is scanned line by line. When a straight line of the current line is scanned (consisting of pixels with a continuous gray value of "1") each time, the straight line has been detected in the previous line. Segments are judged for connectivity, and if the connectivity rules are satisfied, they will be merged.
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