Space Object Imagery Visualization Interface
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Solution Overview
Problem
Current visualization systems for tracking space objects, such as satellites, face challenges in effectively managing and displaying vast amounts of data, including maintaining, sorting, extracting, and displaying historical and real-time data in a timely and organized manner, especially with immense datasets from petabytes or exabytes of photographic data.
Innovation Solution
A system that includes a hardware processor and computer-readable storage, configured to receive and process image data from photographs, allowing users to select latitude, longitude, and time ranges to modify and display image data, with features like synchronization of graphs, tagging interfaces, and image stitching tools for interactive user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If vast amounts of photographic data are collected and stored for tracking space objects, then the quantity and completeness of tracking information is improved, but the complexity of data management and processing increases significantly
Solution Approach 1:
The system segments the vast photographic data into discrete image files with associated metadata, organizing them by time, location, and object identifiers. This segmentation allows the system to manage petabytes of data through modular processing units rather than treating the entire dataset as a monolithic structure.
Solution Approach 2:
The patent introduces an intermediary processing layer that includes databases and indexing structures positioned between the raw photographic data and the user interface. This intermediary layer pre-processes and structures the data, enabling efficient retrieval and analysis without requiring the entire dataset to be actively managed at once.
2Loss of information
If historical and real-time data are maintained together in a unified system, then the completeness of tracking information is improved, but the difficulty of detecting and measuring relevant information increases
Solution Approach 1:
The system applies local quality by creating different data structures and processing methods for historical data versus real-time data. Historical data is organized for comprehensive analysis with full metadata, while real-time data uses optimized structures for rapid processing and display, allowing each type of data to be handled with the most appropriate methodology.
Solution Approach 2:
The patent adds temporal dimensionality to the data organization by clearly separating and tagging historical versus real-time data streams. This dimensional separation allows the system to apply different processing rules, retrieval strategies, and display formats appropriate to each temporal category, making the combined dataset more manageable.
3Measurement precision
If high-dimensional data from multiple photographs is processed and displayed, then the accuracy of space object tracking is improved, but the time required to process and display the data increases
Solution Approach 1:
The system performs preliminary actions by pre-processing photographic data during ingestion, including extracting metadata, creating index structures, and performing initial object detection and tracking. This pre-processing creates ready-to-use data structures that can be quickly retrieved and displayed without requiring intensive processing at the time of user inquiry.
Solution Approach 2:
The patent implements partial action by selectively processing and displaying only the most relevant portions of the high-dimensional data based on user queries and tracking priorities. Rather than processing all available data equally, the system identifies and processes the subset of data most relevant to current tracking needs, reducing overall processing time while maintaining accuracy.
Data Source
AI summary
The system can include a hardware processor in communication with the computer-readable storage. The instructions, when executed by the hardware processor, are configured to cause the system to receive a plurality of photographs of space objects within a time domain. Each of the plurality of photographs can correspond to a latitude domain, a longitude domain, and a timestamp within the time domain. The system can also receive image data derived from the plurality of photographs. The system can also receive a user selection of a latitude range within the latitude domain, a longitude range within the longitude domain, and a time range within the time domain.