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SAR image edge detection method based on logarithm transformation and Gabor convolution

A logarithmic transformation and image edge technology, applied in the fields of image processing and radar image processing, can solve the problems of the edge detection method with a large amount of calculation, missed image edge detection, and time-consuming, so as to reduce the amount of calculation and complexity, reduce time-consuming, time-saving effect

Active Publication Date: 2019-12-03
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and proposes a SAR image edge detection method based on logarithmic transformation and Gabor convolution, which solves the problem of missing image edge detection at positions with high pixel gray values. problem, and the problem that the edge detection method is computationally intensive and takes a lot of time

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  • SAR image edge detection method based on logarithm transformation and Gabor convolution
  • SAR image edge detection method based on logarithm transformation and Gabor convolution
  • SAR image edge detection method based on logarithm transformation and Gabor convolution

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[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Refer to attached figure 1, to further describe the specific implementation steps of the present invention.

[0041] Step 1, generate the Gabor function convolution kernel model.

[0042] according to The order of arrangement, the inclination angles of the first to forty-eighth Gabor function convolution kernels are set in turn, the side lengths of the first to sixteenth Gabor function convolution kernels are all set to 9, and the seventeenth The side lengths of the thirty-second to thirty-second Gabor function convolution kernels are all set to 13, and the side lengths of the thirty-third to forty-eighth Gabor function convolution kernels are all set to 15.

[0043] According to the following formula, using the parameters of the Gabor function convolution kernel set, calculate the value of the convolution kernel of each Gabor function at different coordinat...

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Abstract

The invention discloses an SAR image edge detection method based on logarithm transformation and Gabor convolution, which mainly solves the problems of inaccurate SAR image edge detection and long consumed time in the prior art. The method comprises the following steps: (1) generating a convolution kernel model containing 48 Gabor convolution kernels; (2) calculating a convolution graph corresponding to each convolution kernel; (3) obtaining a gradient edge of the image by calculating a convolution graph; (4) calculating a logarithm transformation convolution graph corresponding to each convolution kernel; (5) calculating a logarithm transformation edge convolution graph to obtain a ratio edge of the image; and (6) combining the gradient edge and the ratio edge to obtain a final SAR imageedge detection result. According to the method, the edge detection result of the good SAR image is obtained, and the method can be used for terrain detection and disaster detection of the SAR image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a SAR (Synthetic Aperture Radar) image edge detection method based on logarithmic transformation and Gabor convolution in the technical field of radar image processing. The invention can be applied to edge detection and extraction of different areas in the synthetic aperture radar SAR image, and can be used for edge detection of radar images in the fields of terrain detection, disaster detection, farmland distribution and the like. Background technique [0002] Traditional optical images usually have obvious target edge information and no obvious noise, so conventional edge detection operators can be directly used for edge detection. However, due to its unique imaging mechanism, SAR images are often distributed with a large amount of coherent speckle noise, and this noise is weighted noise. Because of the existence of this weighted noise, the edge detection method...

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Application Information

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IPC IPC(8): G06T7/13G06T7/136
CPCG06T2207/10044G06T7/13G06T7/136
Inventor 尚荣华林俊凯焦李成尚凡华马文萍王蓉芳李阳阳冯婕张梦璇
Owner XIDIAN UNIV
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