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SAR interferogram filtering method based on multi-scale decomposition-reconstruction

A multi-scale decomposition and interferogram technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of complex noise causes, affecting the reliability of deformation information extraction, digital elevation model generation accuracy, loss of image edge detail information, etc. , to achieve the effect of perfecting theoretical support, good filtering effect and improving reliability

Pending Publication Date: 2021-02-26
CHINA UNIV OF MINING & TECH
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Problems solved by technology

However, the causes of noise in complex interferograms of SAR images are complicated. Applying a Goldstein low-pass filter on the original single image scale suppresses high-frequency noise info

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  • SAR interferogram filtering method based on multi-scale decomposition-reconstruction
  • SAR interferogram filtering method based on multi-scale decomposition-reconstruction
  • SAR interferogram filtering method based on multi-scale decomposition-reconstruction

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[0032] Below in conjunction with accompanying drawing and embodiment the present invention will be described in further detail:

[0033] Such as figure 1 As shown, the present invention provides a kind of SAR interferogram filtering method based on multi-scale decomposition-reconstruction, comprising the following steps:

[0034] Step a: Obtain a picture such as figure 2 The complex interferogram I0=A+B×j of the column number w=512 and the row number h=512 shown, wherein A is the real part of the complex interferogram I0, B is the imaginary part of the complex interferogram I0, and j represents an imaginary number unit;

[0035] Step b: According to the conditions that the maximum number of layers L of the Gauss-Laplace pyramid transformation needs to meet and The maximum number of layers L=2 that carries out Gaussian-Laplace pyramid transformation to complex interferogram I0 is set, and log is to get logarithmic sign in the formula;

[0036]Step c: Using the Gauss-Lap...

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Abstract

The invention discloses an SAR interferogram filtering method based on multi-scale decomposition and reconstruction, and is suitable for the field of image processing. The method comprises the steps of setting a pyramid maximum layer number L of Gaussian Laplace pyramid multi-scale transformation; decomposing the complex interferogram I0 of the SAR image by using a Gaussian Laplace pyramid multi-scale transformation theory to obtain a Laplace pyramid La of the complex interferogram I0; applying an iterative self-adaptive Goldstein low-pass filter based on pseudo coherence to the top layer image of the Laplacian pyramid La; applying a Goldstein low-pass filter based on pseudo coherence to images of other layers except the top layer of the Laplacian pyramid La; applying inverse Laplace transformation to the Laplace pyramid La' after low-pass filtering, and obtaining a filtered SAR image interferogram I0' through reconstruction. The SAR image interferogram noise is better filtered while the edge information of the SAR image interferogram is reserved, the interferogram noise of the SAR image is suppressed, and the effect on the SAR image interferogram is good.

Description

technical field [0001] The invention relates to an image filtering method, and is especially suitable for a SAR interferogram filtering method based on multi-scale decomposition-reconstruction in the technical field of image processing. Background technique [0002] Filtering belongs to the field of image processing. It refers to the operation of filtering out specific band frequencies in image signals. It is an important technology to suppress and prevent noise interference. It is used in image classification, multi-temporal image change detection, image super-resolution reconstruction, and target recognition It has been widely used in image processing fields. Image filters can be divided into high-pass filters, low-pass filters, and band-pass filters according to the information removed and retained. The image that needs to be filtered can be either a real number domain image or a complex number domain image. [0003] The Gaussian-Laplace pyramid is a multi-scale image e...

Claims

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Application Information

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IPC IPC(8): G06T5/20
CPCG06T5/20G06T2207/10044G06T2207/20016G06T2207/20056
Inventor 庄会富彭磊范洪冬迟博文邓喀中张克非郑美楠
Owner CHINA UNIV OF MINING & TECH
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