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SAR (Synthetic aperture radar) image super pixel segmentation method based on Gamma filtering

A superpixel segmentation and image pixel technology, applied in the field of image processing, can solve the problem of low accuracy of superpixel segmentation, and achieve the effect of maintaining edge information and improving accuracy

Inactive Publication Date: 2017-07-07
XIDIAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies in the above-mentioned prior art, and propose a SAR image superpixel segmentation method based on Gamma filtering, which effectively maintains the edge of the image while reducing the interference of coherent speckle noise in the SAR image Information, texture information, and linear feature information are used to solve the technical problem of low superpixel segmentation accuracy existing in existing filter-based superpixel segmentation methods

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  • SAR (Synthetic aperture radar) image super pixel segmentation method based on Gamma filtering
  • SAR (Synthetic aperture radar) image super pixel segmentation method based on Gamma filtering
  • SAR (Synthetic aperture radar) image super pixel segmentation method based on Gamma filtering

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Embodiment 1

[0030] refer to figure 1 : the present invention comprises the steps:

[0031] Step 1: Input raw SAR image.

[0032] The original SAR images are divided into two categories: simulated SAR images and real SAR images. In this embodiment, the original SAR images are simulated SAR images without texture.

[0033] Step 2: Use mean filtering to filter the input original SAR image to obtain the average value of the pixel grayscale of the original SAR image and standard deviation σ(i,j);

[0034] Mean filtering is a typical linear filtering algorithm. When performing mean filtering, a filtering template is required, and the original pixel value is replaced by the mean value of all pixels in the template. For the selection of filtering templates, generally include templates of 3*3, templates of 5*5, or templates of larger windows. In the present invention, the selection of templates is not limited, but because the window is larger, for filtered The result will be affected. In the ...

Embodiment 2

[0069] The other steps of embodiment 2 are the same as those of embodiment 1, only the type of the original SAR image used in step 1 is adjusted, and the original SAR image of this embodiment adopts the simulated SAR image containing texture.

Embodiment 3

[0071] The other steps of embodiment 3 are the same as those of embodiment 1, only the type of the original SAR image used in step 1 is adjusted, and the original SAR image of this embodiment adopts a real SAR image.

[0072] The effects of the present invention will be further described below in conjunction with simulation experiments.

[0073] 1. Simulation conditions:

[0074] The emulation of the present invention is carried out under the hardware environment of Intel (R) Core (TM) 2Duo of main frequency 2.4GHZ, memory 4GB and the software environment of MATLAB R2015a. In the present invention, the SAR images used are all SAR images containing 1-view coherent speckle noise, and the generated superpixel blocks are set to 2500. For superpixel segmentation of SAR images, the number of superpixel blocks is usually set between 1000 and Between 5000.

[0075] 2. Simulation content and result analysis:

[0076] Simulation one, use the present invention to generate superpixel s...

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Abstract

The invention provides a SAR (Synthetic aperture radar) image super pixel segmentation method based on Gamma filtering, so as to solve the technical problem of low super pixel segmentation result accuracy existing in the present filtering-based super pixel segmentation method. The method comprises realization steps: mean filtering is adopted to filter an inputted original SAR image, and the mean value and the standard deviation of pixel grays are obtained; the variance coefficient of the pixel gray mean value, the variance coefficient of speckle noise and the variation coefficient of the SAR image are calculated respectively; the relationship among the coefficients is judged, and whether to carry out Gamma filtering is determined; the Gamma filtering method is adopted to carry out speckle noise reduct5ion on the inputted original SAR image; and super pixel segmentation is carried out on the SAR image after noise reduction, and multiple super pixel blocks are obtained and outputted. Influences of speckle noise in the SAR image can be reduced, the SAR image super pixel segmentation accuracy is improved, and the method can be used for target detection, recognition and classification on the SAR image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a SAR image superpixel segmentation method, in particular to a Gamma filter-based SAR image superpixel segmentation method, which can be used for target detection, recognition and classification of SAR images. Background technique [0002] Synthetic aperture radar (SAR) is a coherent imaging radar operating in the microwave band. It has become an important means of remote sensing observation due to its high resolution and all-weather, all-time, large-area data acquisition capabilities. It is widely used in resources, environment, archaeology and military affairs. The SAR image is formed by the backscattering of electromagnetic waves emitted by the radar from the ground target. With the acquisition of a large number of SAR images, intelligent image understanding and interpretation technology has become a research hotspot today. As a key task in image understanding and int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06T5/00
CPCG06T2207/10044G06T2207/20024G06T5/70
Inventor 冯冬竹余航袁晓光戴浩范琳琳高飞飞孙景荣
Owner XIDIAN UNIV
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