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Research And Application Of Sun Image Registration Algorithm Under Different Resolutions

Posted on:2019-11-04Degree:MasterType:Thesis
Country:ChinaCandidate:T FengFull Text:PDF
GTID:2438330563957651Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In the process of observation and research on the Solar images,in order to be able to better the image of the Solar and the phenomenon of the observation and analysis of different activities,often need comparative observation and Research on the observation data of different observation conditions,different observation equipment and various scenarios,and thus play their respective in different bands,different field,different resolution the advantage of observation.However,there are many differences in location,scale,resolution,imaging methods and so on,due to the observation data of different scenes.Therefore,the high accuracy registration of the Solar images in different coordinate systems is a problem to be solved and perfected in the same coordinate system.In view of the existing problems in Solar image observation and research,in order to better meet the needs of Solar observation data,the following image registration research works have been carried out in the paper:1)The problems in the high accuracy registration of the Solar image are analyzed,and the registration method based on the statistical information is studied in this paper.On the basis of correlation algorithms,a new algorithm for registration of Solar images is proposed by combining the idea of regional segmentation extraction of local feature points.Solve problems of the sun image registration,which the feature is not significant,difficult to select feature control points and features a small number of points,it is difficult to ensure the registration accuracy.2)In view of the existing solar image registration in the rotation,scaling and translation problems,this paper transforms the model of geometric space is studied,We propose a registration algorithm for the geometric transformation model suitable for affine transformations including scaling,rotation and translation,which overcomes the problems of scaling,rotation and translation between registration images.3)In view of the model of affine transformation,we discuss the optimization strategy of the feature space.Using the least squares to continuously iterate and correct the parameters,effectively estimate the geometric transformation parameters,so that the final registration accuracy can reach the sub pixel level.4)The registration algorithm proposed in this paper is successfully applied to the registration of high-resolution observation images and full-disk Solar images,which effectively improves the accuracy and stability of registration results.The experimental results show that this algorithm is studied and analyzed carefully,and the factors affecting the registration accuracy and iterative efficiency are discussed.The feasibility,advantages and disadvantages of the proposed method are verified.The proposed solar high-resolution image and full-disk Solar images registration method with different resolutions,solves the problem that the traditional statistical information-based registration method has a large amount of computation and easy to be affected by the noise in the processing Solar images;At the same time,it also effectively avoids the situation that it is not easy to find the correct registration feature in the Solar image and the possibility of inaccurate registration.Our proposed scheme has a certain theoretical and practical value in the field of solar observation and has a wide application prospects.By high accuracy matching between high-resolution Solar images(Tio)and SDO/HMI full-disk Solar continuum images,it also means that it can be converted to any standard full-disk Solar images,Such as SDO/HMI magnetic images,SDO/AIA band observations,and even matching of chromosphere of full-disk Solar images.This means that we can study the small-scale structure at various wavebands,and the corresponding situation on the magnetic field,with a deviation of 0.25?.At the same time,it can also be applied to any Solar image registration with similar image structure,such as TiO and G-band,H alpha partial band,10830.It can also be used for the registration of the H alpha line-center image and the GONG full-disk Solar images.
Keywords/Search Tags:Solar Image Registration, local feature, High-resolution Image, Phase correlation, the least square method, Sub-pixel
PDF Full Text Request
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