Object characteristic determination using brightness measurements

EP4771582A2Pending Publication Date: 2026-07-08KATALYST SPACE TECHNOLOGIES LLC

Patent Information

Authority / Receiving Office: EP · EP
Patent Type: Applications
Current Assignee / Owner: KATALYST SPACE TECHNOLOGIES LLC
Filing Date: 2024-08-30
Publication Date: 2026-07-08

AI Technical Summary

Technical Problem

Existing methods for determining space object characteristics, such as shape and attitude, from non-resolved optical observations are limited by simplifying assumptions and lack of scalability to varying data densities, making it difficult to characterize human-made objects across different sizes, shapes, and orbital regimes.

Method used

A computer-implemented method using a combination of statistical and machine learning models to process multiple space object data points over time, normalizing and analyzing the data to generate a resident space object type score, and producing a visual output based on distinct feature data, which includes using convolutional neural networks and other statistical models to handle photometric and orbital information.

Benefits of technology

The method improves the ability to predict space object types from non-resolved observations, even with few and short-duration observations, by providing scalable and adaptable characterization techniques that enhance space domain awareness and decision-making in a dynamic space environment.

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Abstract

A method of determining characteristics of space objects, the method comprising providing multiple space object data points over a period of time; processing the multiple space object data points using an analysis model to create a resident space object type score including the steps of: normalizing the multiple space object data points and removing unneeded data to create normalized data; processing the normalized data using at least one analysis model to create distinct feature data; and utilizing at least one set of distinct feature data set to produce a prediction of at least one characteristic of at least one space object and generating at least one space object type score; and generating a visual output corresponding to the at least one space object type score based on the distinct feature data.

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