Space target track determination and image fusion system and method

Abstract

The invention belongs to the technical field of space observation, and particularly discloses a space target track determination and image fusion system, which is characterized by comprising a data acquisition module, an observation module, a data analysis module and a track revisit module, the data acquisition module is used for acquiring a TLE file of a space target at the latest moment; the observation module is used for making an observation plan, performing optical angle measurement on a space target, and performing radar distance measurement on the space target through a radar system; the data analysis module is used for determining a space target orbit through angle measurement data and a relative distance, and estimating a target state description quantity by using a statistical principle so as to determine the space target orbit; the track revisit module is used for carrying out image fusion through track revisit features of space target motion and carrying out fusion imaging on multiple observation data; by accurately determining the orbit of the space target, the motion trail of the space target can be better predicted, and an important reference basis is provided for related tasks.

Description

Technical Field

[0001] The present invention relates to the field of space detection technology, and in particular to a space target orbit determination and image fusion system and method. Background Art

[0002] Space target orbit determination is the process of using the target tracking and control system to estimate the target state description using a multi-structure and multi-parameter model composed of various measurement data with errors on its motion state and inaccurate target motion equations using statistical principles.

[0003] With the rapid development of science and technology, there are more and more systems available for target tracking and measurement, such as GPS navigation systems, ground observation station measurement systems, etc. The data available for target tracking and measurement include ranging, speed measurement, and carrier phase, etc. However, any measurement and control system and measurement element have availability issues. The inherent errors and physical limitations of each system will affect the widespread application of navigation equipment and measurement and control methods. However, current technology makes it difficult to combine space target orbit determination with image fusion, and it is difficult to determine the space target orbit and perform image fusion, making it difficult to accurately obtain the motion trajectory and characteristics of the space target. Summary of the invention

[0004] The purpose of the present invention is to provide a space target orbit determination and image fusion system and method to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a space target orbit determination and image fusion system, including a data acquisition module, an observation module, a data analysis module and an orbit revisit module.

[0006] The data acquisition module is used to obtain the latest TLE file of the space target.

[0007] The observation module is used to formulate an observation plan, perform optical angle measurement on the space target, and perform radar ranging on the space target through a radar system.

[0008] The data analysis module is used to determine the orbit of the space target through angle measurement data and relative distance, and to estimate the target state description quantity using statistical principles to determine the orbit of the space target.

[0009] The orbit revisit module is used to perform image fusion through the orbit revisit feature of the space target movement, and to perform fusion imaging on multiple observation data.

[0010] As a preferred embodiment of the present invention, the method for obtaining the latest TLE file of the space target includes obtaining the TLE file from the official space agency, satellite operator or related database, and regularly obtaining the latest TLE file from the relevant data source to ensure the timeliness of the data, so as to ensure the accuracy and reliability of the data.

[0011] After obtaining the TLE file, the data is verified and checked to ensure the integrity and correctness of the file.

[0012] Preferably, the formulation of the observation plan includes clarifying the space targets to be observed, including satellites, planets, and asteroids.

[0013] Select appropriate observation equipment, such as telescopes, cameras, and detectors according to the characteristics and requirements of the observation target.

[0014] Plan the observation position according to the location of the observation target and the field of view of the observation equipment to ensure that the target can be observed effectively.

[0015] Assess the weather conditions, light pollution, etc. at the observation location and select the best observation conditions.

[0016] As a preferred embodiment of the present invention, the angle measurement data and relative distance to determine the orbit of the space target mainly include using right ascension and declination angle measurement and radar ranging to achieve joint orbit determination.

[0017] Combining multi-source data of optical angle measurement and radar ranging can improve the accuracy and reliability of orbit determination.

[0018] The visible light camera is used to capture images of space debris, while the microwave ranging payload is used to obtain the distance information of space debris, thus achieving high-precision on-orbit positioning.

[0019] As a preferred embodiment of the present invention, the method for image fusion based on the orbital revisit characteristics of the space target movement includes performing multiple observations of the space target based on multi-circle orbital observations, utilizing its orbital revisit characteristics to obtain multiple sets of observation data, and fusing these multi-circle observation data through a data fusion algorithm to obtain more comprehensive and accurate image information.

[0020] According to the orbital model and predicted information of the space target, its position and attitude at different times are determined, observations are made at the corresponding time points, and the observed data are fused with the predicted data to improve the accuracy and reliability of the image.

[0021] Multiple sensors are used to collaboratively observe space targets. Each sensor can acquire image data at different angles or bands. By fusing the data from these multiple sensors, their complementary information can be fully utilized to improve the quality and resolution of the image.

[0022] Before image fusion, different observation data need to be associated and registered to ensure their consistency in space and time, which is achieved through feature extraction, matching and transformation methods.

[0023] According to the specific application requirements and data characteristics, select the appropriate image fusion algorithm. Image fusion algorithms include weighted average, principal component analysis, and wavelet transform. These algorithms can be selected and optimized according to different fusion objectives and data characteristics.

[0024] The fused images are evaluated and verified to ensure their quality and accuracy, and quantitative indicators such as root mean square error and peak signal-to-noise ratio are used for evaluation or the effectiveness of the fusion results is verified through visual interpretation and practical application.

[0025] Finally, image reconstruction is performed based on the fused data to obtain a more comprehensive and accurate image.

[0026] As a preferred embodiment of the present invention, the image reconstruction is used to decompose the image into sub-bands of different resolutions, and then fuse them at different resolution levels.

[0027] Extract image features, including shape, size, edge, and texture, and match them to guide the fusion process; segment the image according to its regional features, and then use different fusion strategies in different regions.

[0028] Image reconstruction is performed using the physical model or prior knowledge of image formation; the fusion results are continuously optimized through iteration to obtain better image quality.

[0029] Before fusion, the image is denoised and enhanced to improve image quality.

[0030] In summary, the present invention further proposes a method for determining a space target orbit and fusing images, comprising the following steps: S1. Obtain the latest TLE file of space targets from official space agencies, satellite operators or related databases; S2. Develop an observation plan, perform optical angle measurement on space targets, and perform radar ranging on space targets through a radar system; S3. Determine the orbit of the space target by using angle measurement data and relative distance, and use statistical principles to estimate the target state description quantity to determine the orbit of the space target; S4. Image fusion is performed through the orbital revisit characteristics of the space target movement, and fusion imaging is performed on multiple observation data.

[0031] Compared with the prior art, the present invention has the following beneficial effects: By accurately determining the orbit of a space target, its motion trajectory can be better predicted, providing important reference for related tasks.

[0032] Image fusion technology can comprehensively process images from multiple sensors to improve the resolution, clarity and credibility of images.

[0033] The fusion of multiple data sources can reduce the error and uncertainty of a single data source and improve the overall performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the system of the present invention; Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] The present invention provides a technical solution: a space target orbit determination and image fusion system, comprising a data acquisition module, an observation module, a data analysis module and an orbit revisit module.

[0037] Example 1 See also Figure 1 , this embodiment provides a data acquisition module in a space target orbit determination and image fusion system, and the data acquisition module is used to obtain the latest time TLE file of the space target.

[0038] Get the latest time TLE file of the space target: TLE (Two-Line Element) file is a standard format for describing satellite orbits.

[0039] Methods for obtaining the latest TLE files of space targets include obtaining TLE files from official space agencies, satellite operators or related databases, and regularly obtaining the latest TLE files from relevant data sources to ensure the timeliness, accuracy and reliability of the data.

[0040] After obtaining the TLE file, the data is verified and checked to ensure the integrity and correctness of the file.

[0041] It should be noted that the acquired TLE files need to be properly stored for subsequent use and analysis.

[0042] Example 2 See also Figure 1 This embodiment provides an observation module in a space target orbit determination and image fusion system, wherein the observation module is used to formulate an observation plan, perform optical angle measurement on the space target, and perform radar ranging on the space target through a radar system.

[0043] Formulating an observation plan includes clarifying the space targets for observation, including satellites, planets, asteroids, etc.

[0044] Select appropriate observation equipment, such as telescopes, cameras, detectors, etc., according to the characteristics and requirements of the observation target.

[0045] Plan the observation position according to the location of the observation target and the field of view of the observation equipment to ensure that the target can be observed effectively.

[0046] Assess the weather conditions, light pollution, etc. at the observation location and select the best observation conditions.

[0047] Arrange appropriate observation personnel according to the requirements of the observation task, and carry out training and division of labor.

[0048] Considering possible problems and risks, corresponding emergency plans can also be formulated to ensure the smooth progress of the observation mission.

[0049] Example 3 See also Figure 1 This embodiment provides a data analysis module in a space target orbit determination and image fusion system, wherein the data analysis module is used to determine the orbit of the space target through angle measurement data and relative distance, and to estimate the target state description quantity using statistical principles to determine the orbit of the space target.

[0050] The angle measurement data and relative distance to determine the orbit of the space target mainly include using right ascension and declination angle measurement and radar ranging to achieve joint orbit determination.

[0051] Combining multi-source data of optical angle measurement and radar ranging can improve the accuracy and reliability of orbit determination.

[0052] The visible light camera is used to capture images of space debris, while the microwave ranging payload is used to obtain the distance information of space debris, thus achieving high-precision on-orbit positioning.

[0053] Study the orbit determination method of high-orbit space targets based on space-based optical angle measurement, including initial orbit determination and orbit improvement.

[0054] Select a suitable observation time and determine the target's initial orbit through ground-based common-view observation.

[0055] Example 4 See also Figure 1 This embodiment provides an orbit revisit module in a space target orbit determination and image fusion system, and the orbit revisit module is used to perform image fusion through the orbit revisit characteristics of the space target movement and to perform fused imaging on multiple observation data.

[0056] The method for image fusion based on the orbital revisit characteristics of the space target movement includes observing the space target multiple times based on multi-circle orbit observations, utilizing its orbital revisit characteristics to obtain multiple groups of observation data, and fusing these multi-circle observation data through a data fusion algorithm to obtain more comprehensive and accurate image information.

[0057] According to the orbital model and predicted information of the space target, its position and attitude at different times are determined, observations are made at the corresponding time points, and the observed data are fused with the predicted data to improve the accuracy and reliability of the image.

[0058] Multiple sensors are used to collaboratively observe space targets. Each sensor can acquire image data at different angles or bands. By fusing the data from these multiple sensors, their complementary information can be fully utilized to improve the quality and resolution of the image.

[0059] Before image fusion, different observation data need to be associated and registered to ensure their consistency in space and time, which is achieved through feature extraction, matching and transformation methods.

[0060] According to the specific application requirements and data characteristics, select the appropriate image fusion algorithm, which includes weighted average, principal component analysis, and wavelet transform. These algorithms can be selected and optimized according to different fusion objectives and data characteristics; evaluate and verify the fused image to ensure its quality and accuracy, and use quantitative indicators such as root mean square error and peak signal-to-noise ratio for evaluation or verify the effectiveness of the fusion result through visual interpretation and practical application.

[0061] Finally, image reconstruction is performed based on the fused data to obtain a more comprehensive and accurate image.

[0062] The image reconstruction is used to decompose the image into sub-bands with different resolutions and then fuse them at different resolution levels.

[0063] Extract image features, including shape, size, edge, and texture, and match them to guide the fusion process; segment the image according to its regional features, and then use different fusion strategies in different regions.

[0064] Image reconstruction is performed using physical models or prior knowledge of image formation.

[0065] The fusion results are continuously optimized through iteration to obtain better image quality; the images are denoised and enhanced before fusion to improve image quality.

[0066] Select the appropriate fusion strategy based on the specific application scenario and image characteristics.

[0067] By fusing multiple observation images, the signal-to-noise ratio of the image can be improved, the impact of noise and interference can be reduced, and space targets can be better identified and analyzed. Example 5 Based on the embodiments 1-4, this embodiment provides a method for determining a space target orbit and fusing images, including the following steps: S1. Obtain the latest TLE file of space targets from official space agencies, satellite operators or related databases; S2. Develop an observation plan, perform optical angle measurement on space targets, and perform radar ranging on space targets through a radar system; S3. Determine the orbit of the space target by using angle measurement data and relative distance, and use statistical principles to estimate the target state description quantity to determine the orbit of the space target; S4. Image fusion is performed through the orbital revisit characteristics of the space target movement, and fusion imaging is performed on multiple observation data.

[0068] In summary, the space target orbit determination and image fusion system of the present invention is a technology for determining the orbit of a space target and performing image fusion.

[0069] Application areas include astronomical observation, satellite navigation, aerospace, etc. By determining the orbit of space targets and fusion of images, we can better understand the motion trajectory and characteristics of space targets, and provide support for research and application in related fields.

[0070] System Advantages Improved monitoring and tracking capabilities for space targets: By accurately determining the orbit of space targets, their motion trajectories can be better predicted, providing important reference for related tasks.

[0071] Enhanced image information content and accuracy: Image fusion technology can comprehensively process images from multiple sensors to improve image resolution, clarity and credibility.

[0072] Improved system reliability and stability: The fusion of multiple data sources can reduce the error and uncertainty of a single data source and improve the overall performance of the system.

[0073] Development Trend Continuous development of multi-sensor fusion technology: Future space target orbit determination and image fusion systems will pay more attention to the fusion of multi-sensor data to improve the accuracy and reliability of the system.

[0074] Application of artificial intelligence technologies such as deep learning: Using deep learning algorithms to analyze and process images of space targets can achieve more efficient and accurate orbit determination and image fusion.

[0075] Coordinated development with other space technologies: The system will be combined with other space technologies such as satellite communications and navigation to form a more complete space information system, providing stronger support for human exploration of the universe and space activities.

[0076] It is worth noting that the entire device is controlled by a main control button. Since the device matched with the control button is a common device and belongs to the existing mature technology, its electrical connection relationship and specific circuit structure will not be described in detail here.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A space target orbit determination and image fusion system, characterized in that: It includes data acquisition module, observation module, data analysis module and orbit revisit module; The data acquisition module is used to obtain the latest time TLE file of the space target; The observation module is used to formulate an observation plan, perform optical angle measurement on space targets, and perform radar ranging on space targets through a radar system; The data analysis module is used to determine the orbit of the space target through angle measurement data and relative distance, and to estimate the target state description quantity using statistical principles to determine the orbit of the space target; The orbit revisit module is used to perform image fusion through the orbit revisit feature of the space target movement, and to perform fusion imaging on multiple observation data.

2. A space target orbit determination and image fusion system according to claim 1, characterized in that: The method for obtaining the latest TLE file of the space target includes obtaining the TLE file from an official space agency, a satellite operator or a related database, and regularly obtaining the latest TLE file from a related data source; After obtaining the TLE file, the data is verified and checked.

3. A space target orbit determination and image fusion system according to claim 1, characterized in that: The formulation of the observation plan includes clarifying the space target of observation; selecting appropriate observation equipment according to the characteristics and requirements of the observation target; Plan the observation position according to the location of the observation target and the field of view of the observation equipment to ensure that the target can be effectively observed; evaluate the weather conditions, light pollution, etc. at the observation site and select the best observation conditions.

4. A space target orbit determination and image fusion system according to claim 1, characterized in that: Determining the orbit of a space target using angle measurement data and relative distance mainly includes using right ascension and declination angle measurement and radar ranging to achieve joint orbit determination; Combining optical angle measurement and radar ranging multi-source data; The visible light camera is used to capture images of space debris, while the microwave ranging payload is used to obtain the distance information of space debris, thus achieving high-precision on-orbit positioning.

5. The space target orbit determination and image fusion system according to claim 1, characterized in that: The method for image fusion based on the orbit revisit characteristics of the space target movement includes observing the space target multiple times based on multiple orbit observations, using its orbit revisit characteristics to obtain multiple groups of observation data, and fusing these multiple orbit observation data through a data fusion algorithm to obtain more comprehensive and accurate image information; According to the orbit model and prediction information of the space target, its position and attitude at different times are determined, observations are made at corresponding time points, and the observation data are fused with the prediction data; Use multiple sensors to collaboratively observe space targets. Each sensor can obtain image data at different angles or bands. By fusing the data from these multiple sensors, their complementary information can be fully utilized. Before image fusion, different observation data need to be associated and registered to ensure their consistency in space and time, which is achieved through feature extraction, matching and transformation methods; According to the specific application requirements and data characteristics, select the appropriate image fusion algorithm, which includes weighted average, principal component analysis, and wavelet transform. These algorithms can be selected and optimized according to different fusion objectives and data characteristics; Evaluate and verify the fused images to ensure their quality and accuracy, using quantitative indicators such as root mean square error and peak signal-to-noise ratio for evaluation or visual interpretation and practical application to verify the effectiveness of the fusion results; Finally, image reconstruction is performed based on the fused data.

6. A space target orbit determination and image fusion system according to claim 5, characterized in that: The image reconstruction is used to decompose the image into sub-bands of different resolutions and then fuse them at different resolution levels; Extract image features, including shape, size, edge, and texture, and match them to guide the fusion process; segment the image according to its regional features, and then use different fusion strategies in different regions; Reconstruct the image using the physical model or prior knowledge of image formation; Continuously optimize the fusion results through iteration; The images are denoised and enhanced before fusion.

7. A method for determining a space target orbit and fusing images, characterized in that: The following steps are involved: S1. Obtain the latest TLE file of space targets from official space agencies, satellite operators or related databases; S2. Develop an observation plan, perform optical angle measurement on space targets, and perform radar ranging on space targets through a radar system; S3. Determine the orbit of the space target by using angle measurement data and relative distance, and use statistical principles to estimate the target state description quantity to determine the orbit of the space target; S4. Image fusion is performed through the orbital revisit characteristics of the space target movement, and fusion imaging is performed on multiple observation data.

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