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SAR Image Filtering Method Based on Adaptive 3D Block Matching

A three-dimensional block, adaptive technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of poor adaptability of three-dimensional transform filtering, low efficiency of similar block matrix construction, etc., to simplify the construction complexity, avoid false Texture phenomenon, the effect of expanding the filter effect

Active Publication Date: 2021-10-22
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 Adaptive 3D Block Matching
  • SAR Image Filtering Method Based on Adaptive 3D 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] Such as 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 t...

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Abstract

The invention belongs to the technical field of digital image processing, and specifically relates to a SAR image filtering method based on adaptive three-dimensional block matching: input a SAR image, divide the image into blocks to construct a three-dimensional block matrix; construct a transformation coefficient three-dimensional block matrix by Fourier transform of the image block; Find local similar blocks to build a three-dimensional matrix of similar blocks; perform three-dimensional Fourier transform on the three-dimensional matrix of similar blocks based on adaptive threshold, three-dimensional inverse transformation and aggregation processing to construct a basic estimated image; the basic estimated image is divided into blocks to build a similar block matrix, corresponding to the original image Construct the original image similar block matrix at the position; perform adaptive threshold three-dimensional Fourier transform on the basic estimation and original image three-dimensional similar block matrix; use the basic estimated image as the energy spectrum, and optimize the transformation coefficient of the original image by Wiener filtering; three-dimensional inverse transform to optimize the transformation Coefficients and clustering are processed to obtain the final estimated image. The invention significantly improves the construction efficiency of the similar block matrix and the adaptability of the three-dimensional transform filter.

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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Patent Type & Authority Patents(China)
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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