高分辨率太阳图像重建方法
High Resolution Solar Image Reconstruction
查看参考文献67篇
文摘
|
高空间分辨率的太阳观测数据有助于深入研究太阳大气现象、太阳物理基本问题。地基大口径太阳望远镜常通过自适应光学技术和图像重建技术获取高空间分辨率图像。目前太阳图像重建技术主要有斑点成像术和斑点相位差法两类。介绍了斑点成像术中几类方法的原理,阐述了斑点成像术重建太阳像的流程以及几个关键步骤,介绍了多帧盲反卷积和相位差法的原理,比较了斑点成像术和斑点相位差法的特点,最后阐述了它们在太阳高分辨率观测中的应用和发展趋势。 |
其他语种文摘
|
High spatial resolution solar observations contribute to the in-depth studying of the solar atmosphere and solar physics problems. Ground-based large diameter solar telescopes often obtain high spatial resolution images by the adaptive optics (AO) technique and the image reconstruction technique. The AO can well reduce the low-order aberrations but still remains residuals significant. As the AO correction is partial,the image reconstruction technique is being in demand to further correct the higher-order aberrations. Current solarimage reconstruction techniques mainly include the speckle imaging and the phase diversity. The speckle imaging techniques are some kinds of high resolution reconstruction methodsbased on statistical computation. The most used methods are the speckle interferometryand the speckle masking. The phase diversity is a method to recover the object from thefocal image and the defocused image in the absence of the atmospheric information. In this paper, firstly,we introduce the principle of the speckle imaging methods. Then describe thebasic processes and several key steps of the solar reconstruction of the speckle imaging. The main steps include flat-field correction, data alignment, segmentation, amplitude and phase recovery. We also introduce the principle of the multi-frame blind de-convolution and the phase diversity. A simple diagram is shown to distinguish their differences. We compare the characteristics of the speckle imaging and the phase diversity. Finally, we expound theapplication and the development trend in the solar high resolution observations. The main methods of the solar image reconstruction for the next generation big telescopes are still the speckle imaging technique and the phase diversity, and we believe the real-time observation of the sun will achieve with the development of the modern computer technology. |
来源
|
天文学进展
,2016,34(1):94-110 【核心库】
|
DOI
|
10.3969/j.issn.1000-8349.2016.01.06
|
关键词
|
高分辨率图像重建
;
太阳像
;
斑点成像术
;
相位差法
|
地址
|
中国科学院云南天文台, 昆明, 650011
|
语种
|
中文 |
文献类型
|
研究性论文 |
ISSN
|
1000-8349 |
学科
|
天文学 |
基金
|
国家自然科学基金
|
文献收藏号
|
CSCD:5651080
|
参考文献 共
67
共4页
|
1.
仇朴章.
天文学进展,1989,7:328
|
CSCD被引
2
次
|
|
|
|
2.
霍卓玺. 由斑点图重建天文图像的方法.
天文学进展,2010,28:72
|
CSCD被引
2
次
|
|
|
|
3.
Labeyrie A.
A&A,1970,6:85
|
CSCD被引
44
次
|
|
|
|
4.
Knox K T.
ApJ,1974,193:L45
|
CSCD被引
5
次
|
|
|
|
5.
Weigelt G P.
Optics Communications,1977,21:55
|
CSCD被引
15
次
|
|
|
|
6.
Schulz T J.
J.Opt.Soc.Am.A,1993,10:1064
|
CSCD被引
22
次
|
|
|
|
7.
Gonsalves R A.
Proc.SPIE, 207,1979:32
|
CSCD被引
1
次
|
|
|
|
8.
Paxman R G.
ApJ,1996,466:1087
|
CSCD被引
17
次
|
|
|
|
9.
Korff D.
J.Opt.Soc.Am,1973,63:971
|
CSCD被引
7
次
|
|
|
|
10.
Goodman Joseph W.
Statistical Optics,2000:455
|
CSCD被引
1
次
|
|
|
|
11.
von der Luhe O.
J.Opt.Soc.Am.A,1988,5:721
|
CSCD被引
1
次
|
|
|
|
12.
Michael C R.
Imaging Through Turbulence,1996:149
|
CSCD被引
1
次
|
|
|
|
13.
Lohmann A W.
Applied Optics,1983,22:4028
|
CSCD被引
25
次
|
|
|
|
14.
Weigelt G.
Optics Letters,1983,8:389
|
CSCD被引
4
次
|
|
|
|
15.
von der Luhe O.
A&A,1985,150:229
|
CSCD被引
1
次
|
|
|
|
16.
Lynds C R.
ApJ,1976,207:174
|
CSCD被引
2
次
|
|
|
|
17.
Worden S P.
J.Opt.Soc. Am,1976,66:1243
|
CSCD被引
1
次
|
|
|
|
18.
Bates R H T.
Optics Communications,1976,19:240
|
CSCD被引
1
次
|
|
|
|
19.
Bates R H T.
Physics Reports,1982,90:203
|
CSCD被引
1
次
|
|
|
|
20.
邱耀辉. 天文图像空域重建新方法:迭代位移叠加法.
光学学报,2001,21:186
|
CSCD被引
10
次
|
|
|
|
|