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

A scene matching and image technology, applied in the fields of navigation and guidance, can solve the problems of high complexity and large amount of calculation, and achieve the effect of reducing the matching time, reducing the matching time, and shortening the matching time.

Active Publication Date: 2012-12-26
XIDIAN UNIV
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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

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

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specific Embodiment approach

[0034] Reference figure 1 The specific implementation of the present invention is as follows:

[0035] Step 1. Input reference image A and real-time SAR image b, and perform enhanced Lee filtering and noise reduction processing on real-time SAR image b to obtain real-time SAR image B after filtering and noise reduction.

[0036] Step 2. Perform the following operations on the real-time SAR image B and reference image A after filtering and noise reduction:

[0037] First, perform low-pass filtering in the horizontal direction; then perform low-pass filtering in the vertical direction on the image obtained after low-pass filtering in the horizontal direction; then, perform two decimation of the above-mentioned image after low-pass filtering in the horizontal and vertical directions. Obtain the first-layer wavelet decomposition image JJ of the reference image A 1 And the first-layer wavelet decomposition image LL of real-time SAR image B 1 .

[0038] Step 3. Respectively to the JJ 1 And...

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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...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 刘峥刘钦马筱青
Owner XIDIAN UNIV
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