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High-resolution SAR satellite image speckle de-noising method

A satellite image, high-resolution technology, applied in the field of high-resolution SAR satellite image coherent speckle denoising, can solve the problems of loss of image details, over-smoothing, non-uniform area blurring, etc., to reduce signal distortion, reduce the amount of calculation, The effect of improving robustness

Active Publication Date: 2011-05-25
STATE GRID ELECTRIC POWER RES INST
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Problems solved by technology

The multi-view processing method reduces the image quality to a certain extent. With the continuous expansion of the SAR application field, the multi-view processing method can hardly meet its requirements for spatial resolution.
The spatial domain algorithm can achieve better denoising effect in the uniform area, but the non-uniform area will be blurred and over-smoothed due to boundary effects, thus losing image details

Method used

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  • High-resolution SAR satellite image speckle de-noising method
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Embodiment Construction

[0031] Embodiments of the present invention are further described below in conjunction with the accompanying drawings:

[0032] as attached figure 1 Shown, be the data processing flowchart that the present invention carries out coherent speckle denoising to high-resolution SAR satellite image, utilize this method, carry out the processing flow of SAR image coherent speckle denoising as follows:

[0033] 1) Perform binary wavelet transform with maximum scale J on the SAR image data f(x, y)

[0034] According to the following formulas (1)~(4), the wavelet coefficients of each scale can be obtained Wherein j=1, 2, L, J is a binary scale factor, m, n are the time-shift factors of a two-dimensional image, k=1, 2, 3, 4, corresponding to the profile information of f (x, y) respectively ( Scale coefficients), wavelet coefficients in the row direction, wavelet coefficients in the column direction and wavelet coefficients in the diagonal direction.

[0035] α ...

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Abstract

The invention discloses a high-resolution synthetic aperture radar (SAR) satellite image speckle de-noising method. Speckle noise statistic characteristics are analyzed, and based on wavelet modulus maximum and Lyapunov exponent theories, useful signals and speckle noise in SAR images are identified by using spatial related processing technology, so when the marginal information is not lost, the speckle noise is greatly attenuated; meanwhile, the 'drift' phenomenon caused by wavelet multi-resolution analysis is corrected, so the de-noising capacity is enhanced and the processing speed is improved; and the method can identify the useful signals and the speckle noise in the SAR images, greatly attenuate the speckle noise when the marginal information is not lost, meanwhile correct the 'drift' phenomenon caused by the wavelet multi-resolution analysis, enhance the de-noising capacity and improve the processing speed.

Description

technical field [0001] The invention relates to a high-resolution SAR satellite image coherent speckle denoising method and the technical field of high-resolution SAR satellite remote sensing image processing. Background technique [0002] The coherent speckle noise, which has the greatest impact on SAR image quality, is essentially different from the physical process of imaging system noise, and its properties are significantly different. SAR images mainly reflect the backscattering characteristics of ground targets. Generally speaking, the resolution unit of a SAR system is much larger than the wavelength of the signal, and a radar resolution unit of a scene target can be regarded as composed of a large number of scattering points. Ideally, the echoes from these scattering points are spherical waves. On a sphere, its magnitude is equal everywhere. Since these scattering units come from the same resolution unit, SAR cannot distinguish them. The received signal of the sy...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 胡毅刘艳刘凯刘庭肖宾彭勇王力农胡建勋
Owner STATE GRID ELECTRIC POWER RES INST
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