SAR image registration method based on multi-scale image block characteristics and sparse expression

A technology of sparse representation and image registration, applied in the field of image processing, which can solve the problems of low registration accuracy and wrong matching points.

Active Publication Date: 2016-07-20
XIDIAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a SAR image registration method based on multi-scale image block features and sparse representation to solve the problem in the prior art that a large number of wrong matching points occur during SAR image registration, resulting in low registration accuracy

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  • SAR image registration method based on multi-scale image block characteristics and sparse expression
  • SAR image registration method based on multi-scale image block characteristics and sparse expression
  • SAR image registration method based on multi-scale image block characteristics and sparse expression

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[0040] The present invention will be further described below in conjunction with accompanying drawing:

[0041] refer to figure 1 , the implementation steps of the present invention are as follows:

[0042] Step 1, input two images, choose one as the reference image I 1 , take the other as the image to be registered I 2 .

[0043] The two input images are respectively intercepted from two SAR images of different polarization modes or different time phases acquired by an airborne radar.

[0044] Step 2, select the feature points of the reference image.

[0045] 2.1) Using the SIFT algorithm to extract the reference image I1 feature points, the I 1 All feature points of are stored in the first set R;

[0046] 2.2) Randomly select a feature point r from the reference image feature point set R i , using the stationary wavelet transform method to calculate the spatial correlation ρ(r i );

[0047] 2.2a) Use the stationary wavelet transform to decompose the input image into...

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Abstract

The invention discloses an SAR image registration method based on multi-scale image block characteristics and sparse expression, and mainly solves the problem that an existing registration method is poor in effect when applied to SAR image registration. The SAR image registration method comprises the steps of: 1) inputting two SAR images, selecting any one as a reference image, and using the other one as an image to be registered; 2) selecting characteristic points of the reference image; 3) utilizing the multi-scale image block characteristics to construct characteristic point descriptors of the reference image and the image to be registered; 4) establishing matching point pairs between the reference image and the image to be registered; 5) removing abnormal points in the matching point pairs; 6) establishing an affine transformation model according to the finally obtained matching point pairs, adopting a least square method to obtain geometric deformation parameters, and obtaining a registration result. Compared with the prior art, the robustness to spot noise is improved, the accuracy and the matching precision of the matching point pairs are improved, and the SAR image registration method can be applied to image fusion and change detection.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an image registration method in radar image processing, which can be used for image fusion and change detection. Background technique [0002] Synthetic aperture radar (SAR) system is widely used in military and civilian neighborhoods because of its characteristics of all-day, all-weather, and penetrability. SAR image registration is a key link in the application of SAR images. It is a process of matching and superimposing two or more SAR images of the same scene taken at different times and from different perspectives. [0003] For the image registration problem, currently proposed methods can be roughly divided into two categories: grayscale-based and feature-based registration methods. The grayscale-based registration method directly uses the grayscale information of the image, and finds the corresponding registration parameters such as translation and rotation for o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/00
CPCG06T3/0075G06T2207/10044G06T2207/20064
Inventor 吴艳樊建伟梁文楷于丰张磊李明
Owner XIDIAN UNIV
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