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Method for reducing synthetic aperture radar smudges noise

A speckle noise and image technology, which is applied in the field of reducing speckle noise in synthetic aperture radar images, can solve the problems of high platform track accuracy, high threshold, and high cost

Inactive Publication Date: 2009-04-01
BEIJING NORMAL UNIVERSITY
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Another shortcoming is that SAR has high requirements for the accuracy of platform orbits, and the threshold for radar equipment and technical requirements is also high, resulting in high costs for the development and application of SAR
But now this situation has begun to change. Some experts believe that the current life cycle cost of SAR has dropped to a level comparable to that of infrared and more complex visible light systems.

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  • Method for reducing synthetic aperture radar smudges noise
  • Method for reducing synthetic aperture radar smudges noise
  • Method for reducing synthetic aperture radar smudges noise

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Embodiment 1

[0059] Step 1 The method of converting multiplicative noise into additive noise:

[0060] A multiplicative noise model is used to describe the SAR image, as shown in the following formula (i):

[0061] g=f·e (i)

[0062] Among them, g represents the observed value, that is, the SAR image; f represents the real value; e represents the noise.

[0063] Logarithmic transformation (LOG) is an effective method, such as formula (ii):

[0064] δ=K+ε (ii)

[0065] Wherein, δ=LOG(g), K=LOG(f), ε=LOG(e).

[0066] After the logarithmic transformation, the Contourlet transformation is performed. Since the Contourlet transformation is a linear transformation, it is expressed by the following formula:

[0067] y=x+n (iii)

[0068] Among them, y=CT(δ) represents the Contourlet coefficient with noise, x=CT(κ) represents the Contourlet coefficient of the original signal, and n=CT(ε) represents the Contourlet coefficient of noise. CT(·) stands for Contourlet transform;

[0069] Step 2: Pe...

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Abstract

The invention discloses a method used for reducing the noise of image stain of synthetic aperture radar (SAR), comprising the steps as follows: the image is logarithmically transformed so as to change the multiplicative noise into the additive noise; mean correction is carried out on transformed image so as to lead the correction result to meet the hypothesis premise of zero mean Gauss white noise; the image after mean correction is circularly translated, thus eliminating image visible effect aberrance possibility caused by Contourlet transformation; Contourlet transformation is carried out on a series of gained translation images and filtration processing is carried out by a Contourlet domain filter; Contourlet transformation is carried out on all filtrated translation images; subsequently, inverse translation conversion is carried out on all images after the inverse transformation; subsequently, the images after inverse translation transformation are averaged; exponential transform is carried out on the averaged images, thus gaining the filtrated images; the method can greatly reduce the noise of image stain of SAR.

Description

technical field [0001] The invention relates to a method for reducing speckle noise, in particular to a method for reducing speckle noise in synthetic aperture radar images. Background technique [0002] Synthetic Aperture Radar (SAR) has become an important resource for obtaining information on the earth's surface, and has been widely used in more and more departments, such as geological prospecting, agricultural production estimation, flood monitoring, urban expansion, ecological environment survey, etc. Due to the active coherent wave imaging method, there is an inherent problem in the reconstruction process from the original signal to the image, that is, the interference of speckle noise (Speckle). Speckle noise not only reduces the spatial resolution of SAR images, but also interferes with the measurement of SAR backscatter coefficients, seriously affecting the application of SAR images. [0003] SAR imagery has many deficiencies, the most prominent being that radar im...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/02G06T5/00
Inventor 陈云浩邓磊李京
Owner BEIJING NORMAL UNIVERSITY
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