SAR image speckle reduction method based on anisotropy and dictionary learning

An anisotropic and dictionary learning technology, applied in the field of remote sensing image processing, can solve the problems of poor denoising ability and edge protection ability, and achieve the effect of improving the ability and edge protection ability and reducing errors

Pending Publication Date: 2021-04-27
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, the existing image speckle reduction methods have poor denoising ability and edge protection ability

Method used

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  • SAR image speckle reduction method based on anisotropy and dictionary learning
  • SAR image speckle reduction method based on anisotropy and dictionary learning
  • SAR image speckle reduction method based on anisotropy and dictionary learning

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Embodiment

[0029] Example: such as Figure 1 to Figure 5 As shown, a SAR image speckle reduction method based on anisotropy and dictionary learning includes the following steps:

[0030] Step 1. Preliminary filtering of SAR image anisotropy:

[0031] First, the gradient values ​​of the image in four directions are calculated by the following formula (1), and the obtained gradient values ​​are substituted into the diffusion coefficient formula (2), and then the threshold is set to generate binary images in four directions, and then added to form A new matrix ranging from 0 to 4, set the value greater than 1 to 1, and set it to 0, and perform morphological processing to obtain the preliminary filter area, I represents the original image, x and y represent the row and column of the pixel, K represents The conduction coefficient controls the sensitivity to the edge of the image, selects the anisotropic filtering area, and obtains the largest connected area by threshold setting and morpholog...

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Abstract

The invention discloses an SAR image speckle reduction method based on anisotropy and dictionary learning. An image is filtered through anisotropic diffusion filtering so that the speckle noise in a weak scattering region is reduced, useful information and noise are divided preliminary, then the gradient of the image in the east, south, west and north directions is calculated, a binary image is obtained through a diffusion coefficient and a set threshold value, then a connected region is obtained and a small-area region is removed through morphology, then anisotropic diffusion filtering is carried out on an image in the range, and finally deep denoising is carried out through a prior dictionary learning algorithm.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a SAR image speckle reduction method based on anisotropy and dictionary learning. Background technique [0002] Because of its all-day and all-weather characteristics, synthetic aperture radar (SAR) has important applications in the fields of national defense security, resource survey and geographic mapping. Due to its own imaging characteristics, the image generated by SAR will have coherent speckle noise, which will affect the subsequent analysis and application of the image. This noise is a strong multiplicative noise, which is caused by the coherent accumulation of echoes from scattered points, and is visually displayed as small spots that flicker on and off. How to effectively remove noise and retain useful information to the greatest extent is the key to SAR image processing, and it is also the first step in the application of SAR images. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/20G06K9/62
CPCG06T5/20G06T2207/10044G06T2207/20024G06F18/28G06F18/214G06T5/70
Inventor 逄博李文涛徐欣韦博
Owner HANGZHOU DIANZI UNIV
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