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Low-resolution noised star chart identification method

A low-resolution, star map recognition technology, applied in the field of low-resolution noisy star map recognition, can solve the problem of low recognition rate of navigation star maps and achieve the effect of removing noise

Inactive Publication Date: 2017-07-21
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] In order to avoid the deficiencies of the prior art, the present invention proposes a low-resolution noise-containing star map recognition method to solve the problem of low recognition rate of low-resolution high-noise navigation star maps

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  • Low-resolution noised star chart identification method
  • Low-resolution noised star chart identification method

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specific Embodiment

[0059] 1. Navigation map preprocessing

[0060] 1.1 Sparse representation and super-resolution of star maps

[0061] Generally, the low-resolution star map containing noise can be regarded as a series of processes of blurring, sampling and adding noise to the high-resolution star map, such as Figure 4 shown.

[0062] Denote the low-resolution star map with noise interference as F, assuming F∈R N , the size of F is F can be represented by a low-resolution star map f without noise and a noise term g:

[0063] F=f+g (1-1)

[0064] From the generation process of the low-resolution image, the low-resolution star map f can be expressed by the following formula:

[0065] f = SHX (1-2)

[0066] Among them, X represents the high-resolution star map, S represents the sampling operator, and H represents the fuzzy operator.

[0067] The basic idea of ​​star map sparse representation is to represent the noise-free low-resolution star map f by a predefined linear combination of ato...

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Abstract

The invention relates to a low-resolution noised star chart identification method comprising two parts: navigation star chart pretreatment and navigation star identification. Sparse representation of a noised star chart is carried out; a denoising star chart is restored by using a complete dictionary; and noises are removed effectively based on star point information keeping. The sparse representation method is applied to image denoising of a low-resolution star chart and an image super-resolution method is applied to high-resolution reconstruction of a low-resolution denoising star chart, so that a high-resolution high-quality start chart is obtained and thus the positioning precision of the star chart navigation start mass center can be improved. Sparse representation of a noised star chart is realized by using a sparse representation method and then the denoising star chart is restored by using the complete dictionary, so that the noise can be removed effectively based on star point information keeping.

Description

technical field [0001] The invention belongs to computer image processing technology, and relates to a low-resolution noise-containing star map recognition method, which performs denoising processing, feature extraction and navigation star recognition on the low-resolution noise-containing navigation star map taken by a star sensor, so as to improve the astronomy Navigation accuracy. Background technique [0002] In recent years, celestial navigation has made great progress in space exploration tasks due to its advantages of high autonomy, high concealment, high reliability, and no error accumulation over time. Astronomical navigation mainly uses stars as navigation beacons. By identifying star sensors to take navigation star maps, solve detectors to provide poses, and provide navigation information for detectors. [0003] The effective and precise work of celestial navigation depends on the rapid and precise identification of navigation stars. The existing navigation star...

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Application Information

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IPC IPC(8): G06K9/40G06K9/62G06N3/08
CPCG06N3/08G06V10/30G06V10/513G06F18/28
Inventor 苟斌程咏梅赵明艳田朝旭陈嘉良白渭津
Owner NORTHWESTERN POLYTECHNICAL UNIV
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