Multi-temporal SAR image multi-layer Bayesian blind deconvolution method for anti-impulse interference

Abstract

The invention discloses an anti-pulse-interference multi-temporal SAR image hierarchical Bayesian blind solution convolution method comprising the following steps: inputting multi-temporal SAR images of the same scene, and registering and fusing the multi-temporal SAR images into a single-frame SAR image g; modeling the noise in g by use of Laplace distribution, sequentially carrying out priori modeling of an original SAR image f, a point spread function h and the priori model parameters alpha(im) and alpha(h) thereof, and initializing h, alpha(im) and alpha(h); modeling joint probability distribution through a hierarchical Bayesian decomposition framework; and iteratively estimating the values of f, h, alpha(im) and alpha(h) through integration and variation Bayesian reasoning based on posteriori distribution and the hierarchical Bayesian decomposition framework. According to the invention, by use of multiple frames of SAR images, the available amount of information of blind solution convolution is increased; through coupling iteration of priori model parameter value estimation and SAR image blind solution convolution, the efficiency and accuracy of parameter value estimation are improved; and by adoption of the noise model based on Laplace distribution, the method is more suitable for inhibiting the pulse interference in the SAR image, and the accuracy of blind solution convolution is improved.

Description

technical field [0001] The invention relates to an anti-pulse interference multi-temporal SAR image multi-layer Bayesian blind deconvolution method, which belongs to the technical field of remote sensing image processing. Background technique [0002] The generation of Synthetic Aperture Radar (SAR) images is affected by many factors such as hardware physical limits, operating state stability, complex environmental conditions, imaging algorithm performance, and cost constraints, and it is difficult to get rid of distortion, blur, aliasing, noise, etc. If there is such interference, the image quality will be reduced to varying degrees, resulting in a resolution that cannot meet the requirements of scientific research and application. [0003] Image deconvolution is an economical, feasible and effective original SAR image estimation (image resolution enhancement) technique, in which image blind deconvolution first performs prior modeling on the original SAR image and point spr...

AI Technical Summary

Problems solved by technology

[0006] First, the effect of deconvolution processing on a single frame image is not ideal;

[0007] Second, the setting of prior model parameter values ​​is not convenient and effective enough;

[0008] Third, it is difficult to suppress pulse interference in SAR images by using Gaussian distribution to characterize noise

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