Satellite Metadata Structure for Formation-Flight Image Processing
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Solution Overview
Problem
Existing technologies lack effective methods for image processing on multiple captured images obtained through formation flight operations of artificial satellites, which require precise satellite specification information and relative positional data for enhanced image analysis.
Innovation Solution
An image processing method and data structure that utilize satellite specification information as metadata, including a satellite cluster identifier and relative position information, to facilitate image processing on captured images from formation flights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing methods are used on captured images from formation flight satellites, then basic image analysis can be performed, but high-resolution and accurate image processing requiring precise satellite specification information and relative positional data cannot be achieved
Solution Approach 1:
The metadata is segmented into distinct functional components: satellite cluster identifier (for grouping related satellites), satellite identifier (for individual satellite recognition), and relative position information (for spatial relationships). This segmentation allows the system to manage complex formation flight data through modular, organized metadata fields that can be processed independently yet collectively enable high-precision image processing.
Solution Approach 2:
The patent adds a new dimension of satellite specification information to traditional image processing by incorporating metadata that describes the capturing satellite's identity and position within a formation flight cluster. This additional dimensional information transforms ordinary 2D image data into multi-dimensional spatial data that enables 3D reconstruction and enhanced measurement precision.
2Adaptability or versatility
If satellite specification information is added as metadata to captured images, then image processing on multiple formation flight images is enabled, but data structure complexity increases
Solution Approach 1:
The metadata structure is designed with universal applicability across different formation flight configurations and image processing tasks. The standardized fields (cluster ID, satellite ID, relative position) can serve multiple functions: identifying satellite provenance, enabling spatial registration, supporting 3D reconstruction, and facilitating temporal correlation of images from different satellites. This multi-functionality reduces the need for task-specific metadata variations.
3Measurement precision
If relative position information of satellites is included in metadata, then three-dimensional measurement and moving object detection are enhanced, but information processing requirements increase
Solution Approach 1:
The patent extracts only the essential relative position information needed for 3D measurement and moving object detection, rather than including complete satellite ephemeris or full orbital parameters. By taking out only the critical spatial relationship data (relative position between satellites in the formation), the system achieves high measurement precision while minimizing metadata data volume and processing requirements.
Data Source
AI summary
Provided is an image processing method for image processing on a plurality of captured images obtained by operation of a formation flight. A satellite cluster management device and an image analysis server as image processing apparatuses perform predetermined image processing on the basis of satellite specification information for specifying an artificial satellite associated as metadata with a captured image captured by the artificial satellite.