首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Compressed sensing sparse reconstruction for coherent field imaging
Institution:Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
Abstract: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.
Keywords:coherent field imaging  computational imaging  sparse reconstruction  compressed sensing  
本文献已被 CNKI 等数据库收录!
点击此处可从《中国物理 B》浏览原始摘要信息
点击此处可从《中国物理 B》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号