Suppression of speckle noise in sar image based on gamma-lee filtering

A speckle noise and image technology, which is applied in the field of SAR image speckle noise suppression based on Gamma-Lee filtering, can solve the problems of unsatisfactory coherent speckle noise suppression effect and poor edge protection effect, and achieve the goal of improving suppression effect and accuracy Effect

Active Publication Date: 2022-07-15
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0008] Aiming at the suppression of SAR image speckle noise, the present invention proposes a SAR image speckle noise suppression method based on Gamma-Lee filtering. The classic Lee filter denoising algorithm is constructed on the fully developed multiplicative model of coherent speckle noise points. For The immature coherent speckle noise suppression effect is not ideal, and the edge protection effect is not good

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  • Suppression of speckle noise in sar image based on gamma-lee filtering

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[0032] The present invention will be further described below.

[0033] A method for suppressing speckle noise in SAR images based on Gamma-Lee filtering, comprising the following steps:

[0034] Step 1, read the original SAR image data matrix: the original image matrix R, the matrix size is M×N, where M and N are integers, representing the number of image rows and columns respectively;

[0035] Step 2: Perform Gamma correction on the original image R: set the Gamma coefficient to c and the Gamma index to e, and the Gamma correction method of the original image is as follows:

[0036] S=c×R e (2)

[0037] Among them, S is the output image of the Gamma correction transformation of size M×N. Through this nonlinear transformation, the linear response of the exposure intensity of the SAR image can be made closer to the response of the human eye: when the Gamma index e is greater than 1 When , this correction will extend the gray distribution histogram of the image with high gra...

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Abstract

A SAR image speckle noise suppression method based on Gamma-Lee filtering, by performing Gamma transformation on the original image to improve its dark details, it solves the problem that the edge details of the filtered SAR image are not well preserved; the translation-invariant local The window traverses each pixel of the measured image, and implements Lee filtering by counting the mean and variance of the covered pixels and the central pixel value. Combined with the idea of ​​adjusting the Gamma coefficient and Gamma index with negative feedback, gradually adjust and strengthen the effect of speckle noise on SAR images. Finally, the simulation experiment results show that the present invention solves the problem of the existing SAR image filtering method that the image edge detail part is not well preserved, and at the same time, the suppression effect of speckle noise is improved to a certain extent; It is superior to the original Lee filtering method and can be used in the field of image processing of SAR images.

Description

technical field [0001] The invention relates to the technical field of SAR image processing, in particular to a SAR image speckle noise suppression method based on Gamma-Lee filtering. [0002] technical background [0003] Synthetic Aperture Radar (SAR) is an advanced microwave remote sensing radar. It has good multi-polarization measurement and interference measurement capabilities. It also has the advantages of all-weather, all-weather, and penetrability. It has better measurement accuracy than optical remote sensing. At the same time, synthetic aperture radar can be implemented in a variety of platforms. Unmanned aerial vehicle, airborne and spaceborne SAR radar can meet the requirements of many monitoring scenarios. This advantage makes SAR radar more popular in the field of national defense and military. The final product of SAR, the application of SAR images, is more diverse, such as: in the field of military reconnaissance, identification and tracking of ground objec...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/20G06T5/40G06T7/90
CPCG06T5/002G06T5/20G06T5/40G06T7/90
Inventor 黄国兴刘艺鹏卢为党彭宏
Owner ZHEJIANG UNIV OF TECH
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