Satellite Image Masking for Bandwidth Optimization
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Solution Overview
Problem
Satellites in low Earth orbit face bandwidth constraints when transmitting imaging data to ground stations, limiting the amount of data that can be downlinked due to the need to distribute limited bandwidth among multiple satellites, and are also constrained by energy and compute limitations that restrict practical filtering algorithms.
Innovation Solution
A computing device generates image mask instructions based on imaging relevance data to specify a region of interest, which are then transmitted to a satellite to filter out deprioritized regions, allowing only relevant data to be downlinked, thus optimizing bandwidth usage and adhering to energy and compute constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If satellites transmit all collected imaging data to ground stations, then complete data coverage is achieved, but bandwidth consumption increases beyond available capacity
Solution Approach 1:
The patent extracts and transmits only the most relevant portions of satellite imagery to ground stations. By identifying and isolating high-value data regions, the system transmits a subset of total collected data that maximizes information value while minimizing bandwidth consumption, directly resolving the contradiction between complete data coverage and bandwidth usage.
Solution Approach 2:
The patent applies different transmission quality levels to different regions of satellite imagery. High-priority regions with significant events or changes are transmitted in full detail, while low-priority regions are transmitted at reduced resolution or excluded entirely. This local differentiation optimizes bandwidth utilization while maintaining information quality where it matters most.
2Loss of information
If sophisticated filtering algorithms are implemented on satellites to prioritize data transmission, then data relevance improves, but energy and compute resources are exceeded
Solution Approach 1:
The patent introduces ground-based computing systems as intermediaries that perform the computationally intensive filtering and prioritization tasks. Instead of executing sophisticated algorithms on resource-constrained satellite hardware, the system uses ground stations with abundant computing power to analyze satellite data, determine priority regions, and guide selective downlinking, thereby achieving high data relevance without exceeding satellite energy and compute limits.
Solution Approach 2:
The patent inverts the traditional processing architecture by moving the filtering intelligence from the satellite (data collection point) to the ground station (data reception point). Instead of satellites autonomously deciding what to transmit, ground stations receive raw or partially processed data and determine which portions are most valuable, reversing the conventional wisdom and enabling sophisticated filtering without satellite resource constraints.
3Area of stationary object
If the number of satellites in the constellation is increased, then imaging coverage improves, but the fraction of data downlinked decreases due to bandwidth distribution
Solution Approach 1:
The patent extracts only the most valuable data from each satellite's collection, allowing the system to scale to larger constellations without proportionally increasing downlinked data volume. By applying consistent extraction criteria across multiple satellites, the system maintains high data relevance even as the number of satellites and total collected data increases, preventing the downlink fraction from decreasing despite expanded coverage.
Data Source
AI summary
A computing device is provided, including a processor configured to receive imaging relevance data for a geographic area. The processor may be further configured to generate, based at least in part on the imaging relevance data, image mask instructions specifying a region of interest included in the geographic area. The processor may be further configured to transmit the image mask instructions to a satellite. The processor may be further configured to receive, from the satellite, filtered satellite image data of the region of interest. One or more deprioritized regions of the geographic area outside the region of interest may be excluded from the filtered satellite image data.