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Space debris star extraction and positioning method

A technology of space debris and positioning methods, which is applied in image data processing, instruments, calculations, etc., and can solve problems such as difficulty in segmenting adjacent space debris targets

Active Publication Date: 2015-04-08
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] In order to overcome the shortcomings of the existing methods for the difficulty of segmenting adjacent

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  • Space debris star extraction and positioning method
  • Space debris star extraction and positioning method
  • Space debris star extraction and positioning method

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Embodiment Construction

[0050] The specific steps of the space debris star point extraction and positioning method of the present invention are as follows:

[0051] (a) Starry sky image binarization processing:

[0052] For starry sky image I, first count the gray histogram of each pixel in the starry sky image, sort the pixels in the image in ascending order according to the pixel value, and remove the pixel with the smallest gray value λ 1 % of pixels, so that the influence of dark noise on the background can be weakened, and the λ with the highest gray value of the pixel can be removed 2 % of pixels, used to weaken the influence of strong noise and stars on the background estimation, where λ 1 ,λ 2 is the background threshold parameter set. Using the remaining (100-λ 1 -λ 2 )% pixels, obtain the gray mean μ and gray standard deviation σ of the background, and use the threshold μ+κσ to binarize the image, where κ is the segmentation coefficient that needs to be set. The binarization formula i...

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Abstract

The invention discloses a space debris star extraction and positioning method, and aims to solve the technical problem of difficulty in segmenting adjacent space debris targets in a current method. According to the technical scheme, a data structure tree is constructed in a candidate space debris region through an MSER (Maximally Stable Extremal Region) algorithm to extract a space debris pixel set in the region and determine the number of space debris stars. In a pixel point tree structure obtained through the MSER algorithm, a training sample is generated for subsequent fitting of a GMM (Gaussian Mixture Model) model by detecting a maximum MSER in the candidate space debris region. In a GMM-based positioning process, the mean value and covariance of Gaussian components in the mixture model is solved iteratively through an EM (Expectation and Maximization) algorithm, and the corresponding mean value is the mass center of each space debris star light spot. According to the method, the characteristics of the MSER and the GMM model are combined, and the mass centers of near-distance dispersed light spots are solved together through the GMM model, so that the technical problem of difficulty in segmenting the adjacent space debris targets is solved.

Description

technical field [0001] The invention relates to a space debris star point extraction and positioning method. Background technique [0002] The literature "Space Target Star Image Centroid Positioning Based on Energy Accumulation, "Optics and Precision Engineering", 2011, No. 12, p2043-3048" proposed an interpolation method based on energy accumulation to solve the centroid. The method uses the interpolation method to reduce the inconsistency of light illuminance between the discrete sampling points and the actual photosensitive area; uses the energy accumulation of the diffuse spot to adaptively determine the effective window of the space debris target. Since this method of adaptively determining the effective window of the space debris target is only suitable for the positioning of a single independent space debris, when the distance between multiple space debris is relatively close, the star spots on the image will stick to each other or overlap. Difficult to separate ext...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/11G06T7/66
Inventor 张艳宁巩东丁王斌李海森
Owner NORTHWESTERN POLYTECHNICAL UNIV
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