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Saliency-based synthetic aperture radar (SAR) image airfield runway edge detection method

An edge detection and airport runway technology, which is applied in the field of image processing, can solve the problems of coherent speckle noise without effective measures, the influence of background area detection results, and the lack of consideration of complex background areas, etc., to overcome the detection of false edges and manual selection of seeds Growth points, overcoming disturbing effects

Active Publication Date: 2013-12-25
XIDIAN UNIV
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Problems solved by technology

Although this method can overcome a large number of false detections in the edge detection process, it still has the disadvantage that this method does not take effective measures for the coherent speckle noise in the synthetic aperture radar SAR image. Difference
In addition, because the method does not consider the problem of complex background areas in the processing process, the background areas will affect the detection results

Method used

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[0048] Attached below figure 1 The steps of the present invention are further described in detail.

[0049] Step 1, read in a SAR image.

[0050] Step 2, perform median filtering on the read-in SAR image.

[0051] With any pixel in the input image as the center, select a square window with an odd window size.

[0052] Arrange the gray values ​​of all pixels in the square window in descending order to form a gray sequence, and select the gray value in the middle of the gray sequence as the filter value.

[0053] Replace the gray value of the center pixel with the filtered value.

[0054] Repeat the above steps until all the pixels in the image are processed.

[0055] Step 3, image enhancement.

[0056] The gray-scale nonlinear transformation is performed on the filtered image to obtain the contrast-enhanced synthetic aperture radar SAR image, which is used as the intensity feature map.

[0057] The grayscale nonlinear transformation method is to map the filtered image in st...

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Abstract

The invention discloses a saliency-based synthetic aperture radar (SAR) image airfield runway edge detection method, which comprises the following implementation steps: (1) reading in image data; (2) carrying out median filtering on the image data which is read in; (3) carrying out enhanced processing on a filtered and de-noised image; (4) obtaining a salient map of the processed image; (5) rejecting a noisy background area on the basis of the saliency information of the salient map; (6) obtaining a seed growth point to carry out region growing; (7) carrying out aftertreatment; and (8) carrying out edge positioning. According to the saliency-based SAR image airfield runway edge detection method, the airfield runway edge can be quickly detected, the airfield runway edge information can be favorably kept, meanwhile, the interference of the noisy background area is avoided, and the saliency-based SAR image airfield runway edge detection method has better instantaneity and higher detection precision and can be applied to the SAR image airfield runway edge detection.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to the edge detection of synthetic aperture radar (synthetic aperture radar, SAR) images, and furthermore, it is a method for detecting the edges of airport runways in synthetic aperture radar (SAR) images based on visual salience, which can be used to synthesize Edge detection in aperture radar SAR images. Background technique [0002] The target detection of synthetic aperture radar SAR images is a research hotspot that is generally concerned at home and abroad, and the airport runway in synthetic aperture radar SAR images is a very important class of targets. Detection has a special meaning. [0003] For the detection of image edges, scholars have proposed many methods, such as sobel detection, Prewitt detection, Robert detection, ROA detection, etc. However, when these traditional edge detection methods are applied to synthetic aperture radar SAR images, due to the imag...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00
CPCG06V20/182G06V10/443
Inventor 侯彪焦李成范娜刘芳马文萍王爽杨国辉
Owner XIDIAN UNIV
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