Rapid scene matching method based on SAR (Synthetic Aperture Radar) image

Abstract

The invention discloses a rapid scene matching method based on an SAR (Synthetic Aperture Radar) image. The rapid scene matching method mainly solves the problem of long matching time and low matching precision in the prior art. The method comprises the following steps of: (1) denoising a real-time SAR image, carrying out two-level wavelet decomposition respectively on a denoised real-time image and a reference SAR image; (2) carrying out edge characteristic extraction on a two-level decomposition image and an original image; (3) carrying out secondary rough matching on the second-level decomposition image after the characteristic extraction to obtain secondary rough matching points; (4) returning to a first-level decomposition image, carrying out primary rough matching in a neighboring region of the secondary rough matching points to obtain primary rough matching points; and (5) returning to the original image, calculating an Hausdorff distance in the neighboring region of the primary rough matching points for fine matching to obtain a final matching position. The method can obviously increase a high matching speed while keeping high matching precision and a lower matching error and can be used for precision guidance of a guided missile.

Description

Technical field [0001] The invention belongs to the technical field of navigation and guidance. Specifically, it is a fast scene matching method, which can be used to correct the cumulative error of the inertial navigation system. Background technique [0002] Scene matching guidance is to compare the reference map of a specific scene on the ground stored in the missile with the real-time map of the flying area measured by the missile-borne imaging system to determine the most similar point of the real-time map in the reference map, that is, matching Point, so as to determine the geographic location of the missile, for the guidance and control system to modify the trajectory, to achieve the purpose of precise guidance. Scene matching is a multi-step process. Different matching algorithms have different steps, but the general process is the same, that is, they all include: feature space, similarity measurement and search strategy. [0003] The feature space of scene matching method...

AI Technical Summary

Problems solved by technology

This matching method based on image grayscale is sensitive to the grayscale change of the image, because under the limitation of the actual battlefield environment and imaging conditions, the reference image and the real-time image may come from different sensors, and there will be differences in the grayscale formation of the image. The large difference makes it difficult for the grayscale information to be used as a common feature for matching to complete scene matching, and this method has a large amount of calculation and high complexity

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