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
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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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