Fast Kinematic Constructs for Noisy Space Object Characterization
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Solution Overview
Problem
Current sensing and imaging technologies face challenges in providing timely and actionable information about anthropogenic space objects due to less-than-ideal imagery and tightly constrained transfer bandwidths, necessitating improved methods for discrimination and characterization.
Innovation Solution
A method involving a computing device that receives electro-optical pixel data, performs ambient level correction to subtract background noise, and creates fast kinematic constructs for detecting, discriminating, and characterizing anthropogenic space objects using embedded convolution and functionalized components like Frame/Image Management, Autonomous Ambient Level Correction, Candidate Object divergence, size and pixel indices Values Derivation, Object Motion Features Rendering, and Object Track classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If currently available sensing and imaging technologies are used, then space objects can be detected, but timely and actionable information cannot be provided due to less-than-ideal imagery and bandwidth constraints
Solution Approach 1:
The patent extracts only the most critical kinematic features (position, velocity, acceleration) from the full imagery data, creating compact fast kinematic constructs that capture essential space object information while discarding redundant visual details, thereby preserving actionable information within bandwidth constraints
Solution Approach 2:
The patent transforms raw pixel data into kinematic parameter space, changing the representation from spatial intensity values to physical motion parameters (position, velocity, acceleration), which enables more efficient compression and transmission of actionable information
2Measurement precision
If detailed imagery processing is performed to characterize space objects, then measurement precision improves, but processing time increases
Solution Approach 1:
The patent performs preliminary extraction of kinematic features directly from raw imagery without full image processing, creating fast kinematic constructs that enable rapid space object characterization before detailed analysis, thereby reducing processing time while maintaining discrimination accuracy
Solution Approach 2:
The patent segments the processing into distinct stages: fast kinematic construct creation from raw data, followed by optional detailed characterization, allowing critical timing information to be extracted immediately while detailed analysis proceeds separately
3Loss of information
If full processing of each imagery frame is performed, then complete information is obtained, but data transfer bandwidth requirements increase
Solution Approach 1:
The patent extracts only essential kinematic parameters (position, velocity, acceleration) from complete frame processing, creating compact fast kinematic constructs that represent the most actionable information in a condensed format, reducing data volume while maintaining information completeness for space object characterization
Solution Approach 2:
The patent performs partial processing to extract kinematic features without completing full image analysis, obtaining sufficient information for space object detection and tracking while avoiding the computational and data transfer overhead of complete frame processing
Data Source
AI summary
A method for characterizing anthropogenic space objects, includes the steps of: receiving, by computing device, sensing and imaging electro-optical pixel data respecting the anthropogenic space objects, performing, by the computing device, ambient level correction of the electro-optical pixel data by subtracting background noise attributed to wide field luminescence due to stars and cosmic radiation and creating, by the computing device, fast kinematic constructs for the anthropogenic space objects whereby the anthropogenic space objects are detected, discriminated and characterized.