SAR (Synthesized Aperture Radar) image target detection method based on zone markers and grey statistics

A technology of region marking and target detection, applied in the field of image processing, can solve the problems of high false alarm rate, single image feature, no artificial target positioning, etc., and achieve the effect of reducing false alarm rate and accurate positioning.

Active Publication Date: 2012-08-01
XIDIAN UNIV
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Problems solved by technology

[0005] Although the above method can get rid of the dependence on the prior information of the image, and only use the structural information of the SAR image to detect the suspected artificial target area in the image more thoroughly and quickly, but because the image features used by the detection method are relatively single, the detection The detected target area set contains more false alarm targets, and when the false alarm targets are eliminated in the post-processing, the detection method still only uses means and methods to reflect image structure information such as regularity and regularity ratio, which cannot be effective. Eliminate the false alarm target area; and when locating the potential area of ​​artificial targets, this method simply determines the final area range through the coordinates of the

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  • SAR (Synthesized Aperture Radar) image target detection method based on zone markers and grey statistics
  • SAR (Synthesized Aperture Radar) image target detection method based on zone markers and grey statistics
  • SAR (Synthesized Aperture Radar) image target detection method based on zone markers and grey statistics

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Embodiment 1

[0044] The invention is a SAR image target detection method based on area marking and gray level statistics, which is mainly used for detecting and accurately locating artificial targets on SAR images. Due to the special coherent imaging mechanism of SAR, the obtained SAR image has the characteristics of non-intuitiveness and redundant image information, which cannot describe the outline and details of the target well, and the ability to distinguish the target and the background in the image is not strong. Therefore, the SAR image target The detection relies heavily on prior information, the amount of calculation is high, and it is sensitive to noise; the research of patent 201110102855 extracts the structural information of the original SAR image through the Primal Sketch model, and extracts the areas where artificial targets may exist according to the regularity of artificial targets, realizing different A SAR image target detection method that relies on prior information, is...

Embodiment 2

[0067] The SAR image target detection method based on area marking and grayscale statistics is the same as that in Embodiment 1.

[0068] The present invention is further described with reference to the accompanying drawings and by the following simulated data and images.

[0069] 1. Simulation conditions

[0070] (1) The SAR image used in the simulation experiment is intercepted from the Washington D.C. image, see the attached figure 2 (a), the height is 472, and the width is 740. The image contains artificial targets such as bridges, ports and buildings, as well as natural targets such as forests, sea surfaces and fields. The purpose of the simulation experiment is to detect all types of artificial targets in the image;

[0071] (2) When judging the positional relationship between line segments, the error interval is involved. The error interval is set to 15 degrees in the simulation experiment, that is, if the angle between two line segments is less than 15 degrees, they ...

Embodiment 3

[0078] The SAR image target detection method based on area marking and grayscale statistics is the same as that in Embodiment 1-2.

[0079] Figure 5 The area shown in (a) is the original SAR image figure 2 A grassy and shrubby area on the right side in (a), which is in figure 2 (b) There are more parallel line segments, collinear line segments, and vertically intersecting line segments in the corresponding area, that is, the structural information in this area has a high degree of regularity and a high regularity rate, so it is detected as a potential artificial target area. The present invention by right figure 2 (a) Carry out OTSU thresholding segmentation, the segmentation results are shown in image 3 As shown, the pixels in this area do not have the characteristic of alternating light and dark. image 3 The ratio of light and dark pixels to the total number of pixels in the region corresponding to is smaller than the threshold T obtained earlier for eliminating fa...

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Abstract

The invention discloses an SAR (Synthesized Aperture Radar) image target detection method based on zone markers and grey statistics. An artificial target potential zone thoroughly including all the artificial targets in the original SAR image is detected when independent of prior information such as target shapes, target characteristics and background characteristics and the like by using the structural information of the original SAR image extracted from a Primal Sketch model, the grey information of the original SAR image and the characteristic that the pixels of the SAR artificial target zone are distributed in an alternately dark and bright way are made the best of, a false alarm target zone is effectively removed in combination with an OTSU (maximum between-class variance) image thresholding algorithm, and the false alarm rate of an artificial target detection result is reduced; and the artificial targets are accurately positioned in the target zone, the technical problems of the SAR image target detection with high false alarm rate and low possibility of accurate positioning of the artificial targets in the target zone are solved, and the processing speed is quick. The SAR image target detection method can be applied to the target detection in the field of SAR image processing and computer vision.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a SAR image target detection method, in particular to a SAR image target detection method based on area marking and grayscale statistics, which can be used for target detection in the fields of SAR image processing and computer vision. Background technique [0002] The main task of target detection is to determine the position of the target of interest and realize the separation of the target from the background. The methods of target detection can be divided into two categories: single-frame image target detection and multi-frame sequence image target detection. The current target detection methods are generally limited to a certain application environment, and the effectiveness of the target detection method depends on the prior knowledge of the target characteristics, background characteristics and application environment, and the quality of the detection results depend...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 刘芳焦李成郝红侠单雁冰戚玉涛袁嘉林侯彪王爽尚荣华马文萍
Owner XIDIAN UNIV
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