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Method for detecting water area margin of SAR image based on improved shearlet transformation

An edge detection and shear wave technology, which is applied in radio wave measurement systems, radio wave reflection/reradiation, and measurement devices, can solve problems such as accurate edge positioning cannot be captured more completely, and algorithms are difficult to suppress noise, etc., to achieve Ultra-redundant direction sensitivity, precise direction sensitivity, rich and perfect edge description

Inactive Publication Date: 2009-10-07
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the existing SAR image edge detection, the traditional algorithm is difficult to simultaneously take into account the shortcomings of noise suppression and accurate positioning of the edge and the existing Shearlet transform can not capture the shortcomings of the curve in the image more completely, to provide a method based on the improvement Shearlet Transform SAR Image Water Edge Detection Method to Improve the Accuracy and Completeness of Edge Detection

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  • Method for detecting water area margin of SAR image based on improved shearlet transformation
  • Method for detecting water area margin of SAR image based on improved shearlet transformation
  • Method for detecting water area margin of SAR image based on improved shearlet transformation

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[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0031] Step 1: Input the SAR image to be detected and convert it into a grayscale image.

[0032] For the input three-channel RGB image, convert according to the formula: grayscale image=(9798.0R+19238.0G+3728.0B) / 32768.0, where R is the red component of the RGB image, G is the green component of the RGB image, and R is RGB The blue component of the image, resulting in a single-channel grayscale image.

[0033] Step 2: Decompose the converted grayscale SAR image with improved Shearlet transform, and obtain the lth subband position k∈R of the image in layer j 2 The improved Shearlet transform decomposes coefficient images at .

[0034] refer to figure 2 , the step is implemented as follows:

[0035] 2a. Perform stationary wavelet decomposition on the input SAR image. The wavelet function is "rbio1.1". When it is decomposed to the jth layer, the input rough image is S j...

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Abstract

The invention discloses a method for detecting the water area margin of an SAR image based on an improved shear wave transformation. For overcoming the difficulty of the existing traditional margin detection method for giving attention to noise suppression and precise location of margin, the invention discloses an improved shearlet transformation and applies the improved transformation in the detection of water area margin in SAR image. The method is realized by the following steps: (1) implementing stationary wavelet decomposition to the input SAR image; (2) shearing and filtering the coefficient of stationary wavelet decomposition in each direction to obtain an improved shearlet transformation decomposition coefficient; (3) calculating a gradient image and inhibiting the non-maximum value thereof and selecting the dual threshold to obtain the margin of the whole image; and (4) extracting the margin of the water area by using a FCM method, connecting the fractured margin therein to form the final water area margin and then outputting the final water area margin. The method has the advantages of good direction selectivity, integrated and precise margin extraction, and can be used for the detection of water area margin in the SAR image.

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to a method for detecting the edge of a synthetic aperture radar (SAR) image. Background technique [0002] Image edge is one of the most basic features of an image, often carrying most of the information of the image, which has a significant impact on our high-level feature description, recognition and understanding. Water targets in SAR images are of great significance in military and civilian applications, and are often used in target recognition, ship navigation, map update, disaster detection, etc. Therefore, it is of positive significance to detect the water edge in SAR images. Since the imaging radar emits pure coherent waves, the SAR image is seriously affected by coherent speckle noise, and the signal-to-noise ratio of the image is low, which makes edge detection difficult. [0003] The current water edge detection is mainly concentrated on coastlines a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G06K9/46
Inventor 焦李成胡育辉侯彪张向荣王爽马文萍
Owner XIDIAN UNIV
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