Automatic test method for remote sensing satellite target detection

By generating design files, identifying core nodes, and building and optimizing logic trees, the automated testing problem of remote sensing satellite target detection tasks is solved, and a complete automated testing process and accurate interpretation of test results are achieved.

CN119718914APending Publication Date: 2025-03-28CHINA ACADEMY OF SPACE TECHNOLOGY
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Patent Information

Application Number
CN202411740495.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing technology is difficult to fully perform many remote sensing satellite target detection tasks, especially during ground testing. The manual resource scheduling is complex, which can easily cause omissions, and it is difficult to truly simulate the independent task execution process, and it is difficult to find image processing problems.

Method used

By generating design files, identifying the association between core nodes and target detection tasks, connecting core nodes to obtain knowledge graphs, reorganizing and building the logic tree after pruning, and optimizing the logic tree. Finally, the satellite object detection task is performed according to the optimized logic tree to realize automated testing.

Benefits of technology

Automatic testing of remote sensing satellite target detection is realized, which can fully record, implement and play back the target detection tasks, and ensure the accuracy and reliability of the test results through automated comparison and interpretation.

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Abstract

An automatic test method for remote sensing satellite target detection comprises the following steps: reading an on-satellite autonomous task time sequence design file through natural language processing, extracting a semantic ontology related to target detection, and forming design logic; a test logic tree is formed through pruning operation, test logic is automatically executed after storage, working states of subsystems on a satellite are set according to design logic, ground acceptance tasks are automatically initiated, ground special analysis software is called after satellite uploading and downloading results are completely stored, and software analysis results are compared with stand-alone test results. And automatic testing of remote sensing satellite target detection is completed.
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