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Image speckle suppression method based on region and pixel coupling similarity measurement

A similarity measure and coherent speckle suppression technology, applied in the field of remote sensing image processing

Pending Publication Date: 2021-09-10
DALIAN MARITIME UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

By constructing the similarity distance, the problem of smoothing the non-similar homogeneous regions to the homogeneous regions is overcome

Method used

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  • Image speckle suppression method based on region and pixel coupling similarity measurement
  • Image speckle suppression method based on region and pixel coupling similarity measurement
  • Image speckle suppression method based on region and pixel coupling similarity measurement

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Embodiment Construction

[0037] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0038] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention provides an image speckle suppression method based on region and pixel coupling similarity measurement. The method comprises the steps of obtaining a single-polarized SAR image, and constructing a mean image and a standard deviation image of the SAR image; constructing a variation coefficient graph of the SAR image based on a 3 * 3 neighborhood window; constructing similarity measurement based on the mean image and the standard deviation image; constructing a gamma function attenuation coefficient according to the variation coefficient graph; adaptively selecting a similar block size based on the variation coefficient graph; calculating and weighting all similarity distances in a search window with a target point as the center according to similarity measurement, jointly constructing a weighted value in a non-local mean algorithm in combination with a gamma function attenuation coefficient, and then calculating an estimated value of the target point; and circularly calculating the weight of each pixel point and estimating a final pixel value so as to obtain a suppressed image.

Description

technical field [0001] The present invention relates to the technical field of remote sensing image processing, in particular to an image coherent speckle suppression method based on the similarity measurement of region and pixel coupling. Background technique [0002] Synthetic Aperture Radar (SAR) has been widely used in target recognition, object classification, ship monitoring and other fields due to its all-time and all-weather capabilities. However, due to the mechanism of SAR coherent imaging itself, the echo of each ground resolution unit is the result of coherent superposition of echoes from multiple scattering points, which will lead to random fading of amplitude and phase, and this phenomenon is There will be bright or dark spots on the aperture radar image, which are called coherence speckles, and the existence of such coherence spots will make subsequent image interpretation difficult, which makes it important to study coherence speckle suppression in SAR images...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10044G06T5/70
Inventor 史晓非李光鑫吕苗邓志宇倪魁元张新鹏申自洋陈方圆
Owner DALIAN MARITIME UNIVERSITY
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