Corner Point Sequencer for Earth-Viewing Imagery
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Solution Overview
Problem
The ordering of corner points in Earth imagery data becomes corrupted during transmission or processing, leading to misalignment and rendering the images unusable, necessitating an efficient method for detection and correction to ensure compliance with standards like MISB Standard 0601 for correct projection onto Earth coordinates.
Innovation Solution
A computer-implemented method that assigns provisional indices to the vertices of image frames, calculates intersections of primary and secondary lines, and swaps indices based on signed remainders to rectify the ordering, ensuring correct alignment and conformity with MISB standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If corner point ordering is not corrected, then image processing can proceed, but the images become corrupted and unusable due to misalignment
Solution Approach 1:
The patent applies preliminary action by detecting and correcting corner point ordering errors before they propagate through subsequent image processing stages. The method checks the geometric consistency of corner points and swaps indices proactively to ensure correct ordering is established early in the processing pipeline, preventing corruption rather than repairing damage after it occurs.
2Measurement precision
If comprehensive corner point validation is performed, then ordering accuracy is improved, but processing time increases significantly
Solution Approach 1:
The patent applies partial action by implementing a selective validation approach that checks only the most critical geometric relationships between corner points rather than performing exhaustive validation. The method uses simplified geometric tests to detect ordering errors, accepting approximate checks that are sufficient to identify and correct mismatches without the computational burden of comprehensive analysis of all possible geometric configurations.
3Manufacturing precision
If corner point indices are swapped to correct ordering, then image alignment is improved, but the complexity of the correction algorithm increases
Solution Approach 1:
The patent applies inversion by working backwards from the expected correct ordering to identify and correct errors. Instead of attempting to fix complex geometric distortions through iterative optimization, the method assumes correct ordering should be present and identifies swaps by checking geometric consistency, then simply exchanges the indices of misplaced corner points to restore the correct sequence, transforming a complex correction problem into a simple swap operation.
Data Source
AI summary
A computer-implemented method for ordering vertices in an image frame within a data stream, wherein the image frame corresponds to Earth-viewing data. A point of intersection of a primary pair of lines is determined and loaded into computer memory, and interrogated as to a sign of a signed remainder with respect to each of two secondary lines defined by the pairwise ordered sets of vertices. In the case of opposite remainder sign with respect to the two secondary lines, two provisional indices are swapped to obtain a rectified index for each of the four vertices. The process is repeated with respect to the signed remainder of the intersection point of the secondary lines relative to the primary lines. The four vertices are then fit, in accordance with index ordering, into a tiling of the surface of the Earth based on the rectified index of each of the four vertices.