中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Compressed sensing sparse reconstruction for coherent field imaging

文献类型:期刊论文

作者Cao, Bei; Luo, Xiu-Juan; Zhang, Yu; Liu, Hui; Chen, Ming-Lai
刊名chinese physics b
出版日期2016-04-01
卷号25期号:4
关键词coherent field imaging computational imaging sparse reconstruction compressed sensing
ISSN号1674-1056
产权排序1
英文摘要return signal processing and reconstruction plays a pivotal role in coherent field imaging, having a significant influence on the quality of the reconstructed image. to reduce the required samples and accelerate the sampling process, we propose a genuine sparse reconstruction scheme based on compressed sensing theory. by analyzing the sparsity of the received signal in the fourier spectrum domain, we accomplish an effective random projection and then reconstruct the return signal from as little as 10% of traditional samples, finally acquiring the target image precisely. the results of the numerical simulations and practical experiments verify the correctness of the proposed method, providing an efficient processing approach for imaging fast-moving targets in the future.
WOS标题词science & technology ; physical sciences
类目[WOS]physics, multidisciplinary
研究领域[WOS]physics
收录类别SCI ; EI
语种英语
WOS记录号WOS:000375662600012
源URL[http://ir.opt.ac.cn/handle/181661/28130]  
专题西安光学精密机械研究所_光电测量技术实验室
作者单位Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714
Cao, Bei,Luo, Xiu-Juan,Zhang, Yu,et al. Compressed sensing sparse reconstruction for coherent field imaging[J]. chinese physics b,2016,25(4).
APA Cao, Bei,Luo, Xiu-Juan,Zhang, Yu,Liu, Hui,&Chen, Ming-Lai.(2016).Compressed sensing sparse reconstruction for coherent field imaging.chinese physics b,25(4).
MLA Cao, Bei,et al."Compressed sensing sparse reconstruction for coherent field imaging".chinese physics b 25.4(2016).

入库方式: OAI收割

来源:西安光学精密机械研究所

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