Synthetic aperture radar image quality evaluation method based on decomposition theory

A synthetic aperture radar, image quality assessment technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of distance and azimuth coupling, increase computational complexity, increase computational cost, etc., to reduce computational complexity The effect of reducing the complexity, reducing the complexity, and large calculation error

Pending Publication Date: 2020-11-03
CENT SOUTH UNIV
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Problems solved by technology

[0004] For the numerical analysis method, although the accuracy of numerical analysis is high, if there are too many sampling points in the range direction and azimuth direction, the complexity of calculation will be greatly increased, and the calculation cost will be increased.
[0005] For the analytical method, the nonlinear trajectory of the radar flight platform will lead to serious coupling between the distance and the azimuth, and the analytical method cannot fully consider the coupling between the range and the azimuth, so it will bring a large error

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  • Synthetic aperture radar image quality evaluation method based on decomposition theory
  • Synthetic aperture radar image quality evaluation method based on decomposition theory
  • Synthetic aperture radar image quality evaluation method based on decomposition theory

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[0049] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as figure 1 Shown, the synthetic aperture radar image quality assessment method based on decomposition theory of the present invention, its step comprises:

[0051] Step S1: use SVD to quickly obtain accurate AF for the existing complex expression of ambiguity function AF.

[0052] SVD is a singular value decomposition, which is an important matrix decomposition in linear algebra, and a singular value decomposition is an extension of eigendecomposition on an arbitrary matrix, and is used in the present invention to mainly solve the coupling problem of distance direction and azimuth direction in AF .

[0053] Step S2: Obtain prior information, and then calculate the first zero point, the first side lobe peak point, and the 3dB point by numerical methods.

[0054] Before calculating the three parameters (ISLR, PSLR, 3dB r...

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Abstract

The invention discloses a synthetic aperture radar image quality evaluation method based on a decomposition theory. The method comprises the steps: S1, using SVD to quickly obtain an accurate AF for an ambiguity function AF complex expression, wherein the SVD is a singular value decomposition method and is used for processing the coupling problem in the distance direction and the azimuth directionin the AF; S2, acquiring prior information, and solving a first zero point, a first sidelobe peak point and a 3dB point through a numerical method; S3, solving three quality parameters, namely ISLR,PSLR and 3dB resolutions, according to the first zero point, the first sidelobe peak point and the 3dB point obtained in the step S2. The method has the advantages that the principle is simple, the calculation complexity can be reduced, and the calculation precision is improved.

Description

technical field [0001] The invention mainly relates to the technical field of radar imaging, in particular to a synthetic aperture radar image quality evaluation method based on decomposition theory. Background technique [0002] SAR imaging quality is the focus of SAR system design, in which resolution, peak sidelobe ratio (PSLR) and integral sidelobe ratio (ISLR) are three important quality parameters to measure image quality. The ambiguity function (AF) is a powerful mathematical tool to evaluate these three parameters. Therefore, it is very important to find an accurate and fast AF analysis method. Affected by factors such as the atmosphere, the trajectory of the radar flight platform may be nonlinear, which will lead to severe coupling of distance and azimuth, thus complicating the analysis of ambiguity functions. [0003] The existing fuzzy function analysis methods include numerical analysis method and analytical analysis method. [0004] For the numerical analysis...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06F17/17G01S7/40G06T7/00
CPCG06F17/16G06F17/17G01S7/40G06T7/0002G06T2207/30168G06T2207/10044
Inventor 陈溅来熊毅桂明臻金养昊梁步阁
Owner CENT SOUTH UNIV
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