Aerial image splicing and positioning method based on aerial strip GPS and scale invariant constraints
A scale-invariant, aerial image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of single flight belt stitching deformation, flight belt image stitching misalignment, and positioning accuracy decline, etc., to eliminate single flight belt. The effect of splicing deformation, improving splicing effect and improving splicing quality
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[0035] The present invention will be further described below in conjunction with the accompanying drawings.
[0036] For the convenience of describing the content of the present invention, some terms are firstly explained here:
[0037] BF algorithm: Brute Force algorithm is a common algorithm for two-dimensional feature point matching. The core idea of BF algorithm is to try all possible matches so that it can always find the best match. For violent matching, cross-matching can be used for optimization. That is, perform another match, and in turn use the matched point for matching. If the matched point is still the first matched point, it is considered a correct match.
[0038] RANSAC algorithm: Random Sample Consensus (Random Sample Consensus) algorithm. Its principle is to iteratively estimate the parameters of the mathematical model from a set of observation data sets containing "outside points". The basic assumption is that the data is composed of "inside points". ", ...
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