Synthetic aperture radar (SAR) image despeckle method based on target extraction and speckle reducing anisotropic diffusion (SRAD) algorithm
A target image and target extraction technology, applied in the field of image processing, can solve the problems of loss of strong edges and isolated edges, poor effect, loss of details, etc., achieve good speckle removal effect, and realize the effect of simple process
Inactive Publication Date: 2014-11-12
XIDIAN UNIV
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However, the P-M model is established for additive noise, and the effect of suppressing multiplicative speckle noise is not very good, and even noise enhancement may occur.
On the basis of analyzing the P-M model, Yongjian Yu and others proposed an anisotropic diffusion algorithm for speckle noise in 2002, that is, Speckle Reduction Anisotropic Diffusion, referred to as SRAD; SRAD algorithm has a good denoising effect and maintains edge ability, but the SRAD algorithm is too simple for the area division of SAR images, and may lose some details, such as the loss of strong edges and isolated edges
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[0029] refer to figure 1 , the specific implementation process of the present invention is as follows:
[0030] Step 1. Extract the details and edges of the target image from the input SAR image A to obtain the extracted target image T:
[0031] 1a) Perform bilateral filtering on the input SAR image A, set the threshold Y to a value between 120 and 180 according to the filtering result, set the gray value of the pixels whose gray value is less than the threshold Y in the filtering result image to 0, The bilateral filtering edge image E is obtained. For the specific implementation of the bilateral filtering algorithm, see Tomasi, C., and Manduchi, R.: "Bilateral filtering for gray and color Images".Proc.6th Int.Conf.Computer Vision,New Delhi,India, 1998, pp.839-846;
[0032] 1b) Use the canny operator to perform edge detection on the input SAR image A, and obtain the canny edge image F;
[0033] 1c) adding the bilateral filter edge image E and the canny edge image F to obtai...
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The invention discloses a synthetic aperture radar (SAR) image despeckle method based on target extraction and a speckle reducing anisotropic diffusion (SRAD) algorithm, mainly aiming at solving the problem that the existing SAR image despeckle method cannot consider the despeckle effect and the edge preservation simultaneously. The realization process comprises the following steps of: 1) carrying out target image extraction and remove on an input SAR image; 2) setting operating parameters such as original iteration times, step size and experiment times; 3) according to different iteration times, using the SRAD algorithm to conduct filter processing on the image subjected to target image remove; 4) calculating the SRAD algorithm optimum iteration times of the image subjected to target image remove; 5) conducting optimum iteration times of SRAD filter processing on the image subjected to target image remove; and 6) and adding the target image to the image obtained after the optimum iteration times of SRAD filter processing to obtain a final despeckle result image. The SAR image despeckle method based on target extraction and the SRAD algorithm has the characteristics of good despeckle effect and better edge texture information preservation, and can be used for the target recognition and the target detection of SAR images.
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technical field [0001] The invention belongs to the technical field of image processing, relates to SAR image speckle removal, and can be applied to SAR image target recognition and target detection. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar. It has all-weather, multi-polarization, multi-view, multi-depression angle data acquisition capabilities and the ability to penetrate some ground objects. It is not only widely used in military affairs, but also in agriculture. There are also a large number of civilian applications such as meteorology, topography, and disaster monitoring. However, because SAR emits coherent waves, these coherent waves undergo coherent effects with ground objects, especially the backscattering effects of ground objects, and attenuate the target echo signal. This attenuation is manifested as speckle noise on the image. Speckle noise is multiplicative and locally correlated. Its existence seriously aff...
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IPC IPC(8): G06T5/00G06T7/00G06K9/46
Inventor 朱虎明焦李成钟雯倩王爽马文萍马晶晶白静尚荣华
Owner XIDIAN UNIV