Method for extracting sea area synthetic aperture radar image point target

A synthetic aperture radar, point target technology, applied in the field of image processing, can solve the problems of difficulty in noise, insufficient noise reduction, and imperfection.

Inactive Publication Date: 2008-03-12
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

Its shortcoming is that the design of the contraction function proposed by this method and the selection of related parameters need to be obtained based on the statistical characteristics of the image, which requires prior knowledge, but it is difficult to obtain accurate prior knowledge in practice, and it is mostly based on assumptions, which

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  • Method for extracting sea area synthetic aperture radar image point target
  • Method for extracting sea area synthetic aperture radar image point target
  • Method for extracting sea area synthetic aperture radar image point target

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Embodiment Construction

[0063] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0064] As shown in FIG. 2 , it is an original sea area power image with a size of 256×256 acquired by an airborne synthetic aperture radar system in this embodiment.

[0065] As shown in Figure 1, this embodiment includes the following specific steps:

[0066] Step 1, obtaining the point-state Herder exponent map of the original image;

[0067] Define three measures μ, respectively μ max , μ min , μ sum :

[0068] mu max (Ω) = max(I(x, y)), (x, y) ∈ Ω, μ max (Ω) represents the maximum gray value of the pixel in the area Ω)

[0069] mu min (Ω)=min(I(x,y)), (x,...

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Abstract

A territorial waters synthesis pore diameter radar image point target extraction method belongs to the technical field of image processing, which comprises steps below: Calculating point-wise Holder's index of an original image and enhancing two-valued obfuscation; inputting the processing result as an independent composition analysis method to obtain spatial expression of the image, viz. base image and independent composition; formulating separation basis to separate the space, obtain a noise space corresponding to noise signals and a non-noise space corresponding to non-noise signals; using a nonlinear filter operator to enhance the independent composition of the non-noise space and repeatedly restructure the independent composition and the acquired image to restore the original image; cutting two-valued extraction result of the territorial waters original image point target through simple threshold values. The present invention brings proper restriction upon strong ocean noise waves of the territorial waters synthesis pore diameter radar image.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a method for extracting point targets in sea area synthetic aperture radar images. Background technique [0002] Synthetic Aperture Radar (SAR) is a coherent imaging radar operating in the microwave band. It has been widely used in military and civilian applications, such as reconnaissance, measurement, ocean surveillance, moving target indication, and moving and static target interception and identification, interference. Measurement and camouflage identification and extraction etc. It has the advantages of high resolution, working around the clock, effectively identifying camouflage and penetrating cover. However, its disadvantage is that the scattered signals received by the radar are superimposed coherently, which causes serious speckle noise in the SAR image after imaging. [0003] For sea area imaging, the existence of sea clutter seriously increases ...

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Application Information

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IPC IPC(8): G01S13/90G01S7/02
Inventor 李昱彤周越
Owner SHANGHAI JIAO TONG UNIV
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