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Method for detecting SAR (stop and reveres) image wave group parameters based on contourlet conversion

A technology of parameter detection and image variance, applied in image data processing, image analysis, instruments, etc., can solve the problem of low detection accuracy of complex wave group parameters in SAR images, and achieve the effect of suppressing noise and improving accuracy

Inactive Publication Date: 2011-04-27
SUZHOU UNIV OF SCI & TECH
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Problems solved by technology

[0006] In order to overcome the deficiencies in the prior art, the purpose of the present invention is to propose a method for detecting wave group parameters of SAR images based on contourlet transformation, which solves the problem that the detection accuracy of complex wave group parameters in SAR images is not high in the prior art

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  • Method for detecting SAR (stop and reveres) image wave group parameters based on contourlet conversion
  • Method for detecting SAR (stop and reveres) image wave group parameters based on contourlet conversion
  • Method for detecting SAR (stop and reveres) image wave group parameters based on contourlet conversion

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Embodiment Construction

[0024] Such as figure 1 Shown, the SAR image wave group parameter detection method based on contourlet transformation of the present invention comprises the following steps:

[0025] 1. Read in the SAR scattering image I(x, y), and then use the conventional SAR wave spectrum inversion algorithm to obtain the wave height map η(x, y) of the sea surface:

[0026] Read in the SAR scattering image I(x, y), perform two-dimensional Fourier transformation on the SAR scattering image I(x, y), and obtain the image variance spectrum I(k x , k y ): Among them, (x, y) are the coordinates of the azimuth direction and distance direction of the sea surface; (k x , k y ) is the wave number in azimuth and distance. For image variance spectrum I(k x , k y ) to carry out the MPI ocean wave spectrum inversion algorithm to obtain the direction spectrum P(k x , k y ). The direction spectrum to the sea surface P(k x , k y ) to perform two-dimensional inverse Fourier transform to obtain the...

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Abstract

The invention discloses a method for detecting SAR (stop and reveres) image wave group parameters based on contourlet conversion, which comprises the specific steps: firstly, SAR scattering images are converted to a wave height chart through an SAR wave spectrum inversion algorithm; next, the contourlet conversion is carried out on the wave height chart to detect the edges of the wave height; the edges of the wave height are connected by adopting a block extraction algorithm and smooth treatment so as to obtain a wave group region with communication; finally, the parameter detection is carried out on the wave group region with the communication as follows: the propagation direction of the wave group is determined through the wave group direction spectrum and the wind direction, and the effective wave height and the wave length of the wave group are calculated through the wave group direction; and the wave peak length of the wave group is calculated by adopting a threshold value method. in the invention, the method for detecting the SAR image wave group parameters based on the contourlet conversion is adopted to carry out the further image treatment on the SAR images so as to obtain more wave group parameters, and the method is suitable for the complicated wave group parameter detection in the SAR images.

Description

technical field [0001] The invention relates to the technical field of marine remote sensing, in particular to a method for detecting wave group parameters of SAR images based on contourlet transformation. Background technique [0002] In physical oceanography, a wave group is composed of many wave trains with similar wavelengths, periods, wave heights and wave directions, and is a frequent ocean phenomenon. Practice has shown that under certain conditions, wave groups can be converted into "big waves" in many forms such as freak wave, rouge wave, and giant wave. As we all know, these "big waves" have caused several oil spills at sea, the sinking of hundreds of merchant ships, and serious damage to offshore projects, causing serious pollution to the marine environment, resulting in the death of a large number of marine organisms, and also It has brought huge economic losses and casualties to mankind. Therefore, the study of wave groups has important practical significance ...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 杨永生张宗杰赵梅
Owner SUZHOU UNIV OF SCI & TECH
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