Spacecraft earth observation payload configuration method based on meteorological conditions and target characteristics

By using rule-based methods based on meteorological conditions and target characteristics, spaceborne Earth observation payloads are configured automatically, solving the problem of reliance on human experience, achieving efficient decision-making on payload type and working mode, and improving mission execution efficiency.

CN116089475BActive Publication Date: 2025-11-28THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION
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Patent Information

Application Number
CN202310228137.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-10
Publication Date
2025-11-28
Estimated Expiration
2043-03-10

AI Technical Summary

Technical Problem

In existing technologies, the allocation of space-based Earth observation resources relies on human experience, resulting in low mission execution efficiency. Furthermore, existing methods lack generalization ability in automating decision-making regarding payload type and operating mode.

Method used

By using rule-based methods based on meteorological conditions and target characteristics, the type and operating mode of spaceborne Earth observation payloads are automatically determined. This includes steps such as determining observation time, meteorological conditions, target characteristics, resolution requirements, and polarization mode, thereby enabling automatic payload configuration.

Benefits of technology

It improves the efficiency of space mission execution, meets the decision-making logic of professionals, and has strong interpretability and generalization ability.

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Abstract

The present application relates to the field of space-to-earth observation load configuration, and provides a space-to-earth observation load configuration method based on meteorological conditions and target characteristics, specifically comprising the following steps: firstly, obtaining space-to-earth observation requirements, which specifically include target position, target type, observation time and other information; then, according to the observation time and the target position, querying the corresponding meteorological conditions to determine the space-to-earth observation load type; secondly, according to the target type, analyzing the target characteristics to determine the working mode corresponding to the space-to-earth observation load; finally, obtaining the space-to-earth observation requirements after resource completion. The present application can replace the process of manual resource decision-making, thereby realizing the automatic operation of space-to-earth observation load configuration.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of space-to-earth observation load configuration, in particular to a space-to-earth observation load configuration method based on meteorological conditions and target characteristics. BACKGROUND

[0002] From the user's demand to the satellite's task instruction, it needs to go through demand acceptance, demand coordination and task planning stage. In this process, part of the demand may be proposed by users without space professional knowledge, in which case the satellite load type and working mode are often incomplete and need to be completed by professional personnel according to experience knowledge. With the increase of users and the increase of satellites, the demand submitted by users is increasing. This manual intervention method is increasingly unsuitable and seriously slows down the task execution. Therefore, it is necessary to explore the space-to-earth observation resource load configuration method, which can automatically determine the space-to-earth observation load type and load working mode, so as to improve the task execution efficiency.

[0003] At present, scholars have done some related research work on the optimization configuration problem in the field of aerospace. Wang Yi of Dalian University of Technology first constructed the performance description tree of satellite platform and payload according to the characteristics of satellite platform load configuration elements, and proposed a satellite platform load configuration method based on genetic algorithm. This method only determines the load type configuration and does not involve the working mode. Feng Hongsheng et al. considered the complexity of input-output relationship and proposed a support vector machine regression model. A small number of samples are extracted by orthogonal design sampling to train SVM, and the antenna configuration of the given ground station is realized. The simulation example shows that this method has a certain degree of fitting accuracy, but the generalization ability is weak. Feng Xiaoen of Harbin Institute of Technology et al. regarded this problem as a small sample problem, based on meteorological conditions, target type and other data, used generative adversarial network for prediction, which met the requirements of load type and working mode, but the considered features were simple and insufficient to determine the load working mode. SUMMARY

[0004] The purpose of the present application is to provide a space-to-earth observation load configuration method based on meteorological conditions and target characteristics, to solve the problem that resource decision in actual situation depends on artificial experience and needs human intervention, to realize the goal of automation of space-to-earth observation resource decision, and to improve the efficiency of space task execution.

[0005] In order to solve the above technical problems, the present application provides a space-to-earth observation resource load configuration method based on meteorological conditions and target characteristics, which specifically comprises the following steps:

[0006] Step 1: receiving space-to-earth observation demand, extracting observation time and target position;

[0007] Step 2: query the weather condition according to the observation time and target position;

[0008] Step 3: judge whether the observation time is daytime, if yes, go to step 4, otherwise, use the SAR load, and go to step 8;

[0009] Step 4: judge whether it is sunny, if yes, go to step 5, otherwise, the load is selected as the SAR load, and go to step 8;

[0010] Step 5: search the target whether there is camouflage feature in the space-to-ground observation demand, if yes, the load is selected as the SAR load, and go to step 8, if there is no camouflage feature, the load is selected as the visible light load, and go to step 6;

[0011] Step 6: according to the target type, search the target feature database to obtain the target size, and determine the observation resolution requirement; wherein, the target feature database contains target size and target feature information;

[0012] Step 7: according to the resolution requirement, match the corresponding load working mode, and select the multi-spectral imaging mode in the premise of meeting the resolution requirement;

[0013] Step 8: according to the target type, search the target feature database to obtain the target size, and determine the observation resolution requirement;

[0014] Step 9: on the basis of meeting the resolution requirement, search the target ground object type in the space-to-ground observation demand, if the target ground object type belongs to land, preferentially select the horizontal polarization mode, if the target ground object type belongs to water area, preferentially select the vertical polarization mode, and determine the load working mode by comprehensively considering the resolution and polarization mode.

[0015] In steps 6 and 8, the resolution requirement is less than or equal to 1 / 10 of the minimum value of the target size.

[0016] In step 4, the daytime and the cloud amount less than 10% are sunny.

[0017] Compared with the prior art, the present application has the following beneficial effects:

[0018] 1. The present application fully considers the target characteristics, and sets the space-to-ground observation resource load type and working mode combined with the target characteristics. The method based on the target characteristics is more in line with the logic of professional decision-making.

[0019] 2. The present application adopts a rule-based method, which has interpretability compared with machine learning and deep learning methods. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1The application provides a flow chart of a space-to-earth observation load configuration method based on meteorological conditions and target characteristics.

[0021] Figure 2 The application provides a flow chart of a space-to-earth observation load configuration method based on meteorological conditions and target characteristics. DETAILED DESCRIPTION

[0022] The concept, technical solution advantages and technical effects of the application will be described clearly and completely in combination with the drawings and the specific embodiments, so as to fully understand the purpose, features and effects of the application. It should be noted that the specific embodiments described herein are only used to explain the application and do not limit the application.

[0023] Referring to Figure 1 , the application is implemented first to obtain space-to-earth observation requirements, which specifically include target position, target type and observation time and the like; then, corresponding meteorological conditions are queried according to the observation time and the target position, and the type of the space-to-earth observation load is determined; secondly, the target characteristics are analyzed according to the target type, and the working mode corresponding to the space-to-earth observation load is determined; finally, the space-to-earth observation requirements after resource complementation are obtained.

[0024] Referring to Figure 2 , the application provides a space-to-earth observation load configuration method based on meteorological conditions and target characteristics, and the specific steps of the method include:

[0025] Step 1: receiving space-to-earth observation requirements, and extracting observation time and target position;

[0026] Step 2: querying meteorological conditions according to the observation time and the target position;

[0027] Step 3: judging whether the observation time is daytime, if yes, turning to step 4, otherwise, using a SAR load and turning to step 8;

[0028] Step 4: judging whether it is sunny (daytime and cloud cover less than 10%), if yes, turning to step 5, otherwise, using a SAR load and turning to step 8;

[0029] Step 5: searching whether the target in the space-to-earth observation requirements has a camouflage characteristic, if yes, using a SAR load and turning to step 8, if not, using a visible light load and turning to step 6;

[0030] Step 6: searching a target feature database (containing target size, target feature and the like) according to the target type, obtaining the approximate size of the target, and determining the observation resolution requirement, the resolution requirement being less than or equal to 1 / 10 of the minimum value of the target size, so as to ensure that the target is visible in imaging;

[0031] Step 7: Match the corresponding load working mode according to the resolution requirement, and preferentially select the multispectral imaging mode under the premise that the resolution meets the requirement;

[0032] Step 8: Retrieve the target feature database according to the target type, obtain the approximate size of the target, determine the observation resolution requirement, and the resolution requirement is less than or equal to 1 / 10 of the minimum value of the target size to ensure that the target is visible in imaging;

[0033] Step 9: On the basis of meeting the resolution requirement, retrieve the target ground object type in the space-to-ground observation demand, if the target ground object type belongs to land, preferentially select the horizontal polarization mode, if the target ground object type belongs to water area, preferentially select the vertical polarization mode, and determine the load working mode in combination with the resolution and polarization mode.

Claims

1. A method for configuring a space-to-earth observation payload based on meteorological conditions and target characteristics, characterized by, The method comprises the following steps: Step 1: receiving a space-to-earth observation requirement, and extracting an observation time and a target position; Step 2: querying meteorological conditions according to the observation time and the target position; Step 3: judging whether the observation time is daytime, if yes, turning to Step 4, otherwise, using a SAR load, and turning to Step 8; Step 4: judging whether it is sunny, if yes, turning to Step 5, otherwise, using a SAR load, and turning to Step 8; Step 5: searching whether there is a camouflage feature in the target in the space-to-earth observation requirement, if yes, using a SAR load, and turning to Step 8, if not, using a visible light load, and turning to Step 6; Step 6: searching a target feature database according to a target type, obtaining a target size, and determining an observation resolution requirement; wherein the target feature database comprises target size and target feature information; Step 7: matching a corresponding load working mode according to the resolution requirement, and preferentially selecting a multi-spectral imaging mode under the premise that the resolution requirement is met; Step 8: searching a target feature database according to a target type, obtaining a target size, and determining an observation resolution requirement; Step 9: on the basis of meeting the resolution requirement, searching a target ground object type in the space-to-earth observation requirement, if the target ground object type belongs to land, preferentially selecting a horizontal polarization mode, if the target ground object type belongs to water, preferentially selecting a vertical polarization mode, and determining a load working mode in combination with the resolution and the polarization mode.

2. The method for configuring a space-to-ground observation payload based on weather conditions and target characteristics according to claim 1, wherein, In Step 6 and Step 8, the resolution requirement is less than or equal to 1 / 10 of a minimum value of the target size.

3. The method of claim 1, wherein the method is characterized by, In Step 4, it is sunny when the day and cloud cover is less than 10%.

Citation Information

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