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Synthetic aperture sonar speckle noise suppression method based on multiresolution analysis

A synthetic aperture sonar and synthetic aperture technology, applied in the field of SAS image processing, can solve the problem of inability to deal with synthetic aperture coherent speckle noise and achieve the effect of improving gray contrast and reducing coherent speckle noise

Inactive Publication Date: 2013-12-04
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

[0005] The object of the present invention is to provide a method for suppressing speckle noise in synthetic aperture sonar based on multiresolution analysis, which solves the problem that the existing wavelet threshold denoising algorithm cannot process the speckle noise in synthetic aperture sonar images, On the basis of maintaining the edge details of the synthetic aperture sonar image, the purpose of effectively suppressing the coherent speckle noise of the synthetic aperture sonar image is achieved

Method used

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  • Synthetic aperture sonar speckle noise suppression method based on multiresolution analysis

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Embodiment 1

[0048] The steps of processing the SAS image containing the target using the method provided by the invention are as follows:

[0049] Step 1: Use Matlab software to read in an original SAS image A, such as figure 2 shown. In Matlab, an image is equivalent to a two-dimensional matrix, and any matrix can be represented as an image. Assume that the matrix form of the original SAS image is represented by A[i, j], where i represents the distance coordinate, and the value range is [1, 512]; j represents the azimuth coordinate, and the value range is [1, 512];

[0050] Step 2: Perform logarithmic processing on the SAS image matrix A[i, j] to obtain the logarithmic processing image matrix B[i, j], that is, B[i, j]=log A[i, j], in the matrix B Each element of is the logarithm of the corresponding element in matrix A;

[0051] Step 3: Perform wavelet decomposition on the logarithmically processed image matrix B[i, j] to obtain the wavelet transformation matrix C, namely C=wdec(B); ...

Embodiment 2

[0056] The method provided by the invention can also be used to process the landform SAS image, and the processing effect is as follows: Figure 5 and Figure 6 As shown, the process is the same as in Example 1. in, Figure 5 It is the imaging result of a geomorphic area by SAS, different geological areas and their edges can be seen, and the edges are severely affected by coherent speckle noise and appear fragmented; Figure 6 It is the landform image after coherence speckle suppression, and the coherence speckle noise is well suppressed. After coherent speckle noise processing, the edges between different substrate areas in the landform image are smoother, and the edges are not blurred, and the edge fragmentation is alleviated. After processing by the coherent speckle noise suppression algorithm, the coherent speckle noise in the uniform substrate area is suppressed, reducing its gray value, while the edge is not significantly affected, so the gray contrast between the edg...

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Abstract

The invention discloses a synthetic aperture sonar speckle noise suppression method based on multiresolution analysis. The method comprises the steps that 1, speckle noise in an original synthetic aperture sonar image is converted into additive noise through logarithm processing, and a logarithm processing image is obtained; 2, wavelet threshold de-noising processing is conducted on the logarithm processing image, and a reconstituted image is obtained; 3, index processing is conducted on the reconstituted image. The synthetic aperture sonar speckle noise suppression method based on multiresolution analysis solves the problem that synthetic aperture sonar speckle noise in a synthetic aperture sonar image cannot be processed in the prior art. The synthetic aperture sonar speckle noise suppression method based on multiresolution analysis improves the gray scale contrast ratio of the target and background of the synthetic aperture sonar image with the target, a subsequent image processing process is facilitated, the edges of different substrate areas of the landform synthetic aperture sonar image are made to be more obvious, and therefore the subsequent image processing such as image segmentation and substrate characteristic analysis is facilitated.

Description

technical field [0001] The present invention relates to the field of SAS (synthetic aperture sonar, synthetic aperture sonar) image processing, in particular, the present invention relates to a synthetic aperture sonar speckle noise suppression method based on multi-resolution analysis. Background technique [0002] Synthetic aperture sonar is a high-resolution underwater imaging sonar that can obtain high-quality underwater image data. Synthetic aperture technology uses multiple echo coherently superimposed to obtain an aperture, so that the synthetic aperture sonar device maintains a high resolution in the azimuth direction. In the process of synthesizing an aperture, the acoustic wave source used by synthetic aperture sonar is coherent, resulting in coherent speckle noise. The existence of coherent speckle noise makes SAS images unable to correctly reflect the reflection characteristics of targets, which seriously affects the image quality and reduces the performance of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 陈强田杰刘维黄海宁张春华
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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