西安电子科技大学学报（自然科学版）2013，Vol.40Issue(1)：76-80,5.DOI:10.3969/j.issn.1001-2400.2013.01.014
压缩感知框架下的太阳图像重建方法
Research on the solar image reconstruction method based on compressive sensing
摘要
Abstract
One of the important goals of the developing antenna array of solar imaging is how to decrease the cell number of the array, due to the contradiction between limited budget and massive antennas. Inspired by the ability of compressed sensing to recover exactly the original signal from highly sub-Nyquist-rate samples and the sparse characters of solar image, this paper proposes a solar image reconstruction method based on the compressive sensing theory. The effectiveness of this scheme is illustrated by experiments of both simulated solar image and real astronomical image. Results show superiority of the proposed method in the resolution of the adjacent point source, the shape maintenance of the extanded source and the dynamic range.关键词
图像重建/压缩感知/综合孔径/天线阵配置Key words
image reconstruction/ compressive sensing/ synthetic aperture/ array configuration分类
信息技术与安全科学引用本文复制引用
王书振,李莉,邹子健,张小平..压缩感知框架下的太阳图像重建方法[J].西安电子科技大学学报（自然科学版）,2013,40(1):76-80,5.基金项目
国家自然科学青年基金资助项目(61100156) （61100156）
中央高校基本科研业务费专项资金资助项目(K50511030007) （K50511030007）
国家自然科学基金资助项目(61070143) （61070143）
