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SAR image registration based on anisotropic speckle suppression model

An anisotropic and image registration technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of enhanced noise, inability to effectively remove noise, and affect the accuracy of SAR image registration, so as to improve the correct matching rate , the effect of suppressing speckle noise

Inactive Publication Date: 2018-12-14
BEIHANG UNIV
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Problems solved by technology

That is to say, the gradient amplitude cannot effectively distinguish the speckle noise from the edge of the image, and the filtering result not only cannot effectively remove the noise, but may also enhance the noise.
These enhanced noises are detected as unstable feature points in the anisotropic scale space, affecting the accuracy of SAR image registration

Method used

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  • SAR image registration based on anisotropic speckle suppression model
  • SAR image registration based on anisotropic speckle suppression model
  • SAR image registration based on anisotropic speckle suppression model

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Embodiment Construction

[0028] Below, the specific implementation steps of the SAR image registration method based on the anisotropic speckle suppression model provided by the present invention will be described in detail. For the processing flow, see figure 1 .

[0029] Step 1. Divide the image set in the anisotropic scale space that needs to be established into O groups, each group has S layers, and use the scale mapping formula σ i = σ 0 2 z+c / S Get a set of scale parameter set {σ i}, where σ 0 is the initial scale of the image, z∈[0,...,O-1], c∈[0,...,S-1], i∈[0,...,O×S], and then according to Time to Time Mapping Formula Obtain a set of evolution time collection {t i}.

[0030] When constructing the anisotropic scale space, the scale level increases logarithmically, and there are O groups in total, and each group has S layers. The last layer of each group will double the sampling as the first layer of the next group. where σ 0 is the reference value of the initial scale parameter, i∈[...

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Abstract

The invention discloses an SAR image registration method based on an anisotropic speckle suppression model. Firstly, the anisotropic speckle suppression model (SRAD) is used to construct the anisotropic scale space representation of the image, and the feature points are detected and described in this scale space. Then, for the feature points extracted from the reference image and the image to be registered, a bi-directional matching strategy is used to establish the feature points with the same name. Finally, an irregular triangulation network TIN is constructed according to the same name feature point pairs, and the triangulation facet of the image to be registered is accurately corrected. Compared with the existing methods, this method can achieve fast and accurate SAR image registration.

Description

technical field [0001] The invention relates to a remote sensing image registration method, in particular to a SAR image registration method based on an anisotropic speckle suppression model, which belongs to the technical field of digital image processing and the like. Background technique [0002] The purpose of synthetic aperture radar SAR (Synthetic aperture radar) image registration is to find the corresponding relationship between two or more SAR images acquired by different time or different angles of view and different sensors in the same scene. Key technologies in applications such as guidance, change detection, and information fusion. Therefore, the registration of SAR images is the basis of SAR image analysis and provides technical support for the application of SAR images. [0003] Existing image registration techniques can generally be divided into two categories: region-based registration techniques and feature-based registration techniques. Compared with reg...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33
CPCG06T2207/10044G06T7/33
Inventor 李波王显珉徐其志王海波俞文勇
Owner BEIHANG UNIV
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