Synthetic aperture interferometric radiometer image inversion method

A comprehensive aperture, radiometer technology, applied in the direction of using re-radiation, reflection/re-radiation of radio waves, instruments, etc., can solve problems such as performance degradation of inversion results

Inactive Publication Date: 2013-02-06
HUAZHONG UNIV OF SCI & TECH
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[0003] Aiming at the defects of the prior art, the purpose of the present invention is to provide a synthetic aperture radiometer image inversion method, aiming to solve the pr

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[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0019] The synthetic aperture microwave radiometer image inversion method provided by the embodiment of the present invention is based on Bayesian regression estimation. Aiming at the real-time application of synthetic aperture imaging, it can effectively reduce the computational complexity and is a method that can automatically select the optimal model. Synthetic aperture image inversion method.

[0020] Such as figure 1 As shown, a synthetic aperture radiometer image inversion method includes the following steps:

[0021] S1: Substitute the visibility data V of the target scene and the impuls...

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Abstract

The invention discloses a synthetic aperture interferometric radiometer image inversion method, which comprises the following steps: obtaining the probability measure initial value beta of visibility and the probability measure initial value ai of different pixels i according to the visibility data V of a target scene and the impact response matrix G of an interferometric radiometer; calculating the characteristic value lambda i of a GTG (grey to grey) matrix; calculating the mean value mu of a posterior probability and the variance sigma T|V of the posterior probability; updating beta and alpha; judging whether the probability measure updating value beta new of the visibility and a probability measure updating value alpha new are simultaneously restrained or not; if so, substituting the probability measure updating value beta new of the visibility, the probability measure updating value alpha new, the mean value mu of a posterior probability and the variance sigmaT|V of the posterior probability into a formula p (T|G, anew, beta new)=N(T|u, sigma T|V) to obtain brightness temperature image distribution T; and if not, returning to further calculate mu and sigma T|V. According to the synthetic aperture interferometric radiometer image inversion method disclosed by the invention, the computation complexity for obtaining an optimal model can be effectively lowered, an inversion result with small variance and deviation is obtained, influence on an inversion result by the noise is reduced, the resolution ratio of the inversion image is effectively improved, and the synthetic aperture interferometric radiometer image inversion method is a synthetic aperture image inversion method which can automatically select the optimal model.

Description

technical field [0001] The invention belongs to the technical field of microwave remote sensing and detection, and more specifically relates to an image inversion method of a synthetic aperture radiometer. Background technique [0002] The Synthetic Aperture Radiometer (SAIR) uses multiple discrete small antennas to synthesize a larger real aperture, which is arranged in a sparse array, which greatly reduces the mass and volume of the antenna, and solves the inherent contradiction between resolution and aperture size. The existing synthetic aperture inversion methods mainly use mathematical methods or the physical characteristics of the synthetic aperture system to constrain the instability of the numerical solution of the inverse problem. The SAIR image inversion problem belongs to the model selection problem. The traditional regularization inversion method uses the regularization parameter as the model parameter for constructing different models. Although they have achieve...

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Application Information

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IPC IPC(8): G01S13/90
Inventor 陈柯胡飞黄全亮贺锋郭伟杨宏赖利魏文俊
Owner HUAZHONG UNIV OF SCI & TECH
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