Restraint method for SAR image spot noise combining visual light image information

A speckle noise and image information technology, applied in the field of image processing, can solve the problem of inaccurate edge detail detection, and achieve the effect of good edge retention performance and good speckle reduction effect.

Inactive Publication Date: 2008-02-13
BEIHANG UNIV
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Problems solved by technology

The disadvantage of this processing is that edge details are detected in the original SAR image before speckle noise suppression, so edge detail detection may be inaccurate due to speckle noise

Method used

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  • Restraint method for SAR image spot noise combining visual light image information
  • Restraint method for SAR image spot noise combining visual light image information
  • Restraint method for SAR image spot noise combining visual light image information

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Embodiment Construction

[0016] As shown in Figure 1, the implementation steps of the present invention mainly include:

[0017] 1. Pixel area attribute classification. Using the optical image information, the pixels are divided into three types: uniform area, gradually changing area and edge detail area.

[0018] 2. SAR image classification noise suppression. According to the category of the pixels, the speckle noise suppression processing of the SAR image is divided into different situations.

[0019] As shown in Figure 2, the specific processing of regional attribute classification using optical images mainly includes:

[0020] (1) Perform a gradient operation on the optical image f(i, j) to obtain a gradient map f i (i,j)

[0021] f i ( i , j ) = [ f ( i ...

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Abstract

The present invention relates to a speckle noise reduction method in SAR image combining with visual image information, which includes the following steps: (1) image area attribute of the pixel points is classified; by using the optical image information, the pixel points are divided into three types: a homogeneous area, a low frequency area and an edge detail area; (2) according to the type of the pixel point, the speckle noise of SAR image classification is inhibited. Using the visual image, the present invention classifies the SAR image into three types of image area, the homogeneous area, the low frequency area and the edge detail area, and adopts different noise suppression algorithm in different image area, which has advantages that (1) the areas can be accurately classified by using the visual image information without speckle noise ; (2) the homogeneous area and the low frequency area adopt the most adaptive de-speckle algorithm, which can obtain the best de-speckle effect;(3)the edge detail area adopts preserved edge treatment, therefore which can obtain the best edge preserving performance.

Description

technical field [0001] The invention relates to a SAR image speckle noise suppression method combined with visible light image information, which belongs to the field of image processing. Background technique [0002] SAR is an all-weather, all-time, high-resolution microwave imaging system, which has the ability to penetrate natural vegetation, artificial camouflage and surface soil at a certain depth. The coherent imaging principle of SAR leads to coherent speckle noise in SAR images. In addition, occasional faults and image encoding / decoding errors will cause spikes and pulse noise when the equipment is working. These noises are collectively referred to as speckle noise. Speckle noise is unavoidable in SAR images. Its existence makes the image unable to correctly reflect the scattering characteristics of ground objects, which not only greatly increases the complexity of interpretation, but also easily causes misjudgment, and greatly increases the automatic The difficul...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/217H04N5/14
Inventor 徐华平周芳
Owner BEIHANG UNIV
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