Satellite Bundle Adjustment With Regional Plate Motion Correction
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Solution Overview
Problem
Existing satellite image mapping technologies struggle to accurately account for non-uniform tectonic plate movements, leading to misalignments and distortions in satellite images, which complicates precise geolocation and mapping.
Innovation Solution
A method involving plate motion correction through a bundle block adjustment that includes adjusting satellite images individually based on time and applying plate motion models, using ground control points and tie points, and incorporating stochastic variables to handle varying image motions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional bundle block adjustment is used to correct satellite images, then general alignment is achieved, but precision in accounting for non-uniform tectonic plate movements deteriorates
Solution Approach 1:
The correction model is segmented into multiple motion correction parameters that can be applied differently to various regions of the satellite image. This allows non-uniform tectonic plate movements to be corrected with higher precision without requiring a single overly complex global model.
Solution Approach 2:
The invention introduces multiple motion correction parameters that can be adjusted to account for different types and magnitudes of tectonic plate movements. By changing and optimizing these parameters, the system achieves high precision geolocation correction while maintaining a manageable model structure.
2Measurement precision
If multiple correction parameters are applied to account for non-uniform plate movements, then geolocation accuracy improves, but computational complexity increases
Solution Approach 1:
The correction model is designed to be dynamic, allowing different motion correction parameters to be applied to different regions of the satellite image. This dynamic approach enables the system to handle non-uniform tectonic plate movements efficiently, improving feature position accuracy without requiring a static overly complex model.
Solution Approach 2:
Different regions of the satellite image are corrected using locally optimized motion correction parameters that account for regional variations in tectonic plate movement. This local quality approach improves feature position accuracy in each region while keeping the overall computational complexity manageable through regional decomposition.
3Ease of operation
If uniform correction is applied across the entire image, then processing simplicity is maintained, but accuracy in regions with varying plate motion deteriorates
Solution Approach 1:
The satellite image is divided into multiple regions, each with its own motion correction parameters tailored to the local tectonic plate movement characteristics. This segmentation maintains relative processing simplicity while significantly improving regional geolocation accuracy compared to uniform correction.
Solution Approach 2:
Each region of the satellite image receives a customized motion correction based on local tectonic plate movement patterns. This local quality approach balances operational simplicity with regional accuracy, allowing the system to handle varying plate motions without requiring uniformly complex processing across the entire image.
Data Source
AI summary
Plate tectonic movements can cause drift in the position of common points used in generating maps, such as ground control points and tie points. Over time, if not corrected for, plate tectonic movement results in older images no longer accurately reflecting the ground position of the imaged features. Furthermore, plate tectonic movements are not uniform across the world and can vary significantly in direction and velocity from region to region across the globe, or between images, or even within a single image. Several methods for accounting for these movements are described herein that can use images at different times to more accurately indicate current ground coordinates by applying plate tectonic movement information.