Synthetic aperture radar target detection method based on curvelet transformation and Wiener filtering

A synthetic aperture radar, curvelet transform technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the target and background clutter distribution with poor reflection intensity, it is difficult to detect weak, small and hidden To achieve the effect of low false alarm probability, improved detection rate, and strong anti-false alarm ability

Inactive Publication Date: 2015-12-30
PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
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Problems solved by technology

The disadvantage of using CFAR to detect targets is that there is a significant difference in reflection intensity between the target

Method used

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  • Synthetic aperture radar target detection method based on curvelet transformation and Wiener filtering
  • Synthetic aperture radar target detection method based on curvelet transformation and Wiener filtering
  • Synthetic aperture radar target detection method based on curvelet transformation and Wiener filtering

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Embodiment Construction

[0051] Now the present invention will be further described in conjunction with the embodiments, taking the measured SAR image as an example, the present invention will be further elaborated:

[0052] Step 1: Input the original SAR image.

[0053] Step 2: Calculate the statistical properties of the entire SAR image. The statistical characteristic indicators used here are the mean value, accurate deviation and entropy value. In fact, the first-order statistical characteristics mainly reflect the amount of image information and the degree of deviation.

[0054] Step 3: Determine the gray value gap between the target area and the background clutter area in the image, the purpose is to determine whether the input SAR image has a high SNR or a low SNR image. First determine the target area, then extract the target area through mask or image segmentation technology, calculate the mean value of the sub-image of the target area, that is, the mean value of the local target area, and co...

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Abstract

The invention belongs to the signal and information processing technology field and relates to a target detection method of combining a curvelet transformation theory, statistical parameter estimation, Wiener filtering and a synthetic aperture radar image characteristic. The method is characterized by through curvelet transformation decomposition, acquiring a plurality of decomposition scales; on each decomposition scale, providing different direction information and setting a direction of each scale; making an influence of noise reach a minimum through sampling filtering twice; taking a low false alarm probability to detect abundant target information. Compared to the prior art, by using the method, there are the following advantages that a defect that a small target, a weak scattering target and a hidden target is not easy to detect is effectively overcome through double filtering; an influence of speckle noise is reduced; a signal to noise ratio of a SAR image is increased; the curvelet transformation is selected to carry out processing on the SAR image so that a processing result is accurate; de-noise processing is performed on the image and enhancement processing is performed on a characteristic so that a detection rate of a target is increased; a false alarm probability of the target is low and a high anti-false-alarm capability is possessed.

Description

technical field [0001] The invention belongs to the technical field of signal and information processing, and relates to a target detection method combining curvelet transform theory, statistical parameter estimation, Wiener filtering and synthetic aperture radar image characteristics. Background technique [0002] Synthetic Aperture Radar (SAR for short) is a very important technical means of earth-to-sky observation. Due to its own advantages, since the first SAR image was obtained in 1953, it has been widely used in many fields such as ocean, geology, agriculture, environment, city and land monitoring. SAR imaging, in addition to the typical all-weather, all-day, has a certain penetration ability, the spatial resolution of the obtained SAR image has nothing to do with the imaging distance. Therefore, in practical applications, it is superior to optical remote sensing imaging and infrared remote sensing imaging, but the resolution of SAR images is far from reaching its ph...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06T5/00
Inventor 黄世奇王百合王艺婷苏培峰刘代志
Owner PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
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