Fusion Algorithm for Ground Control Network Generation
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Solution Overview
Problem
Current methods for generating ground control points are expensive and impractical, especially for arbitrary areas of interest, as they require extensive surveying or large-scale image block adjustments that are time-consuming and unwieldy.
Innovation Solution
A method involving sequential processing of individual image blocks and a fusion algorithm to generate ground control points, allowing for the creation of a ground control network that covers large areas efficiently and accurately, using commercial or tactical airborne sensors, and updating the network with each new image block adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential processing of individual image blocks is used, then processing time and computational complexity are reduced, but accuracy consistency across large areas may deteriorate
Solution Approach 1:
The patent divides a large area into multiple overlapping image blocks that are processed sequentially. Each block is adjusted independently using a fusion algorithm that integrates results from previous blocks, enabling parallel and sequential processing while maintaining overall accuracy consistency across the entire large area.
Solution Approach 2:
The fusion algorithm continuously integrates adjustment results from sequential image blocks, maintaining cumulative accuracy improvement across the entire area. Each new block building upon previous results ensures continuous refinement of ground control points throughout the processing sequence.
2Measurement precision
If traditional surveying methods are used to generate ground control points, then accuracy is improved, but cost and time requirements increase significantly
Solution Approach 1:
The patent uses image-based measurements and automated fusion algorithms to create ground control points that replicate the accuracy traditionally achieved only through expensive field surveying. The system processes commercial or open-source imagery to generate survey-grade control points without physical surveyor deployment.
Solution Approach 2:
The patent replaces traditional mechanical surveying equipment and manual field operations with automated image processing and computational fusion algorithms. This substitution eliminates the need for physical travel, equipment deployment, and manual measurement while achieving comparable or superior accuracy through digital image analysis.
3Area of stationary object
If a single large-scale image block adjustment is performed, then comprehensive coverage is achieved, but computational complexity and processing time become unwieldy
Solution Approach 1:
The patent segments a large area into multiple manageable image blocks that can be processed independently and sequentially. Each block is adjusted using standard photogrammetric techniques, and the fusion algorithm integrates these smaller adjustments to produce a unified ground control network for the entire large area, avoiding the computational burden of processing all images simultaneously.
Data Source
AI summary
A method for fusion of image block adjustments for the generation of a ground control network constituting a Metric Information Network (MIN). Utilizing the subject. fusion algorithm it is possible to duplicate the results of an extremely large simultaneous image block adjustment by sequentially performing smaller image block adjustments on small overlapping areas of interest and taking the results to update a metric information network. Note, intermediate results for less than all the imagery provide usable updates to the metric information network. The result of the infusion of sequential image block adjustments into the metric information network is that one can obtain the accuracy provided by an extremely large single image block adjustment, and do so in manageable chunks or segments involving conventional computer resources.