Low-altitude remote sensing image high-precision matching method with consistent image space

Abstract

The invention discloses a low-altitude remote sensing image high-precision matching method with consistent image space. Firstly, SURF feature matching is carried out on the top layer of an image pyramid, and an affine transformation relation between a base image and a search image is built; then, feature point extraction is carried out on the base image, the affine transformation relation is used as a geometric constraint condition, a feature point window is switched to the search image, meanwhile, a window of the search image is corrected and re-sampled to be in an image space coordinate system of the base image, correlation coefficient matching is carried out, polynomial iteration is used for removing a gross error, obtained corresponding image points are utilized for resolving and updating the affine transformation relation between the base image and the search image again, and then the lower-layer image matching is carried out until bottom-layer image matching; finally, a matching result is converted to be under an image space coordinate system of the search image, and high-precision least squares matching is carried out. The method solves the problems that due to the fact that the problems of large rotating, geometry deformation and the like exist in the image space, the matching success rate is low, and a failure easily happens, and the matching efficiency and the success rate of a low-altitude image are greatly improved.

Description

technical field [0001] The invention relates to low-altitude remote sensing image matching, in particular to a low-altitude remote sensing image high-precision matching method with image square space consistency. Background technique [0002] In recent years, from UAV remote sensing used in topographic surveying and mapping of the Diaoyu Islands, to disaster remote sensing monitoring and disaster assessment in the Lushan earthquake in Sichuan, to the normal monitoring of national marine resources, low-altitude remote sensing technology has highlighted its role in topographic surveying and mapping, disaster emergency monitoring and disaster situation assessment. Low-altitude remote sensing data processing technology has quickly become a research hotspot due to its advantages and application value in many fields such as assessment and environmental monitoring. Image matching is one of the key technologies of low-altitude remote sensing data processing, and its matching quality...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a high-precision matching method for low-altitude remote sensing images with consistent image square space to solve the problems of low matching success rate and low matching rate caused by large rotation and geometric deformation between low-altitude images. failure-prone problem

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