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SAR image filtering method based on self-adaptive three-dimensional block matching

A three-dimensional block and self-adaptive technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low construction efficiency of similar block matrix, poor adaptability of three-dimensional transformation filter, etc., and avoid serious loss of image texture details , Simplify the construction complexity and improve the construction efficiency

Active Publication Date: 2018-11-23
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

[0007] The technical problem to be solved in the present invention is: the SAR image processing method in the prior art has low construction efficiency of similar block matrix and poor adaptability of three-dimensional transform filter

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  • SAR image filtering method based on self-adaptive three-dimensional block matching
  • SAR image filtering method based on self-adaptive three-dimensional block matching

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Embodiment Construction

[0035] A SAR image filtering method based on adaptive three-dimensional block matching of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] like figure 1 As shown, a kind of SAR image filtering method based on adaptive three-dimensional block matching of the present invention comprises the following steps:

[0037] Step S1

[0038] Input the original SAR image, and construct a three-dimensional block matrix according to the input image.

[0039] In this embodiment, the RADASAT2 satellite C-band HH polarization SAR image with a size of 1024×1024 is input, the image block size is set to 8×8, and the three-dimensional block matrix Blocks is constructed with a smoothing step size of 4.

[0040] Step S2

[0041] In step S1, each two-dimensional matrix in the three-dimensional block matrix is ​​used as a reference block to perform fast Fourier transform and perform threshold shrinkage.

[0042] In this...

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Abstract

The invention belongs to the field of digital image processing technology and particularly relates to an SAR image filtering method based on self-adaptive three-dimensional block matching. According to the method, an SAR image is input, and the image is partitioned to construct a three-dimensional block matrix; Fourier transformation is performed on image blocks to construct a transformation coefficient three-dimensional block matrix; locally similar blocks are found to construct a similar block three-dimensional matrix; three-dimensional Fourier transformation, three-dimensional reverse transformation and clustering processing are performed on the similar block three-dimensional matrix based on a self-adaptive threshold to construct a basic estimation image; the basic estimation image ispartitioned to construct a similar block matrix, and an original image similar block matrix is constructed corresponding to the original image position; self-adaptive threshold three-dimensional Fourier transformation is performed on the basic estimation and original image three-dimensional similar block matrix; the basic estimation image is used as an energy spectrum to perform Wiener filtering optimization on original image transformation coefficients; and a final estimation image is obtained through three-dimensional reverse transformation optimization of the transformation coefficients andclustering processing. Through the method, similar block matrix construction efficiency and self-adaptability of three-dimensional transformation filtering are remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a SAR image filtering method based on adaptive three-dimensional block matching. Background technique [0002] Synthetic Aperture Radar (SAR) has a certain degree of penetrability, and can image and display vegetation-covered ground or desert-covered areas to achieve all-weather and all-weather target area monitoring. Different images of the same area are acquired. Synthetic aperture radar can achieve high resolution and has high application value. However, due to the defects of the imaging principle, SAR images have more speckle noise, which seriously hinders the visual recognition and subsequent interpretation of SAR images. Therefore, the study of coherent speckle noise has very important practical significance. [0003] The method of filtering based on the similarity of the image itself can better retain the texture information of the image whil...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/10G06K9/62
CPCG06T5/10G06T2207/10044G06T2207/20021G06T2207/20004G06T2207/20056G06T2207/30188G06T2207/30181G06F18/22G06T5/70
Inventor 叶发旺刘洪成孟树
Owner BEIJING RES INST OF URANIUM GEOLOGY
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