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Simulation checking method for deep-space optical navigation image processing algorithm

A technology of image processing and optical navigation, which is applied in the direction of integrated navigators, etc., can solve the problems that there are no relevant reports in the research of star trail image verification system, and achieve the effect of facilitating error analysis

Active Publication Date: 2011-07-06
BEIJING INST OF CONTROL ENG
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Problems solved by technology

[0003] At present, there are many star point image simulation methods, but there is no relevant report on the verification system research of star trail image simulation

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  • Simulation checking method for deep-space optical navigation image processing algorithm
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  • Simulation checking method for deep-space optical navigation image processing algorithm

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Embodiment Construction

[0012] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0013] The steps of a deep-space optical navigation image algorithm processing simulation verification method according to the present invention are as follows: first, on the premise that the orbital positions of the asteroid and the detector are known, consult the star catalog data to obtain the initial position of the star point in the image and the relative angular moment; then randomly generate a series of attitude matrices to represent the attitude disturbance of the sensor within the exposure time, and perform image simulation to obtain the star point trajectory simulation image; then the obtained star point trajectory simulation image, a series of randomly generated attitude matrix and the estimated value of the navigation node with error for image processing; the image processing is to first correct the estimated value of the navigation ...

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Abstract

The invention provides a simulation checking method for finishing deep-space optical navigation image processing algorithm by virtue of a simulation function. The method comprises the following steps: image processing is carried out on an obtained star point trajectory simulation image, a series of attitude matrixes generated randomly and a node predicted value with errors; in the image processing, the node predicted value with errors is corrected; matching templates are obtained at the periphery of each corrected node pixel by taking each corrected node pixel coordinate as a center, so as to carry out cross correlation to obtain a coordinate of relative pixels among a plurality of fixed star targets, and then the corrected value is compared with a true value to evaluate pixel error for image processing; then, a relative angular moment is calculated, recognition of background fixed stars is carried out by adopting a ditrigon fixed star recognition method according to the relative angular moment, a calculation matrix is formed by a fixed star vector according to the recognition result of the background fixed star, and then according to the matrix operation, the azimuth of target planetoids can be calculated; and finally, the calculated azimuth of the target planetoids is compared with the true azimuth of the target planetoids to obtain deviation.

Description

technical field [0001] The invention relates to the field of image processing of optical autonomous navigation, in particular to a simulation verification method for image processing algorithms of deep space optical navigation. Background technique [0002] The deep-space flight segment is different from the near-Earth orbit. In addition to the stars in the field of view, the navigation star targets used in optical navigation also select the asteroids that appear around the cruising segment at different times. Due to the low detection magnitude, it is 9~ Stars of magnitude 12 require long-term exposure of the sensor, and the shaking of the detector attitude during the exposure time has a significant impact. The imaging of the navigation celestial body is no longer a single star point, but changes its position in the image with the disturbance, forming a trajectory line. Image processing methods and simulation methods bring new challenges and require re-investigation. [000...

Claims

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Application Information

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IPC IPC(8): G01C21/24
Inventor 毛晓艳王大轶张晓文周建涛
Owner BEIJING INST OF CONTROL ENG
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