Satellite model generation system

CN120807762APending Publication Date: 2025-10-17THE BOEING CO
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Patent Information

Application Number
CN202510432433.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2024-04-10
Filing Date
2025-04-08
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

Existing technologies struggle to quickly generate a large number of satellite digital 3D models with reasonable assumptions and configurations, and existing model generation technologies are usually limited to physical objects in the real world, unable to generate digital 3D models of hypothetical objects.

Method used

A satellite model generation system is used to generate multiple satellite values ​​based on the input seed value. Multiple different three-dimensional satellite models are generated using the satellite model generation system and configuration likelihood constraints. By using a pseudo-random number generator and machine learning technology, the randomness and variability of satellite configuration parameters are controlled to generate a large number of satellite models with different configurations.

Benefits of technology

It enables the rapid generation of a large number of satellite digital 3D models with reasonable assumptions and configurations, and can generate hundreds of thousands of random and realistic satellite images in a short time, which are suitable for training machine learning models and other applications.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a satellite model generation system. A method (700) for satellite model generation includes generating a plurality of satellite generated values (105) based on an input seed value (104). A plurality of different three-dimensional (3D) satellite models (106) are generated using a satellite model generation system (102), where the plurality of different 3D satellite models (106) differ according to a plurality of satellite configuration parameters (110), and where, for each 3D satellite model of the plurality of different 3D satellite models (106), a plurality of satellite configuration parameters (110) are generated. The satellite configuration parameters (110) of the 3D satellite model are determined based at least in part on the plurality of satellite generation values (105) and a plurality of configuration likelihood constraints (114) of the satellite model generation system (102). A plurality of different three-dimensional (3D) satellite models (106) are output.
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