节点文献

基于压缩传感的太赫兹成像

Terahertz imaging based on compressed sensing

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 李泽王民钢刘小华赵跃进张存林

【Author】 Li Ze1,3,Wang Mingang2,Liu Xiaohua1,Zhang Cunlin3(1.School of Optoelectronics,Beijing Institute of Technology,Beijing 100081,China;2.College of Astronautics,Northwestern Polytechnical University,Xi′an 710072,China;3.Key Laboratory of Terahertz Optoelectronics,Ministry of Education,Beijing Key Laboratory for Terahertz Spectroscopy and Imaging,Department of Physics,Capital Normal University,Beijing 100048,China)

【机构】 北京理工大学光电学院首都师范大学物理系太赫兹光电子学教育部重点实验室太赫兹波谱与成像北京市重点实验室西北工业大学航天学院

【摘要】 介绍了一种基于压缩传感理论的THz成像方式,该理论突破了传统奈奎斯特采样定律的限制,可以以远小于图像总像素数的少量测量值来恢复出原始图像,从而很大程度上缩短了成像时间、提高了内存资源的利用率。通过对该理论的分析可知,变换基、测量矩阵和重构算法是该理论的三个重要因素,通过一系列仿真试验,分别对不同的变换基、测量矩阵和重构算法作了对比,根据对比结果,得到了最适合于文中被成像物体的变换基、测量矩阵以及重构算法。最后,利用离轴抛面镜代替聚乙烯透镜搭建了成像系统,得到了初步的试验结果。

【Abstract】 A THz imaging system based on the theory of compressed sensing was described,the theory break through the limit of Nyquist sampling law,it can reconstruct the original image by only a small number of measurements,so that it can shorten the imaging time and improve the utilization of memory resources to a large extend.Through the analysis of the theory,the three important factor of the theory are the transform matrix,the measurement matrix,and the reconstruction algorithm.A series of simulation was done to contrast different transform matrixes,different measurement matrixes and different reconstruction algorithms respectively,and according to contrast results,the most suitable transform matrix,measurement matrix and reconstruction algorithm for the image object were decided.Finally,the imaging system was set up by off-axis throw lens instead of polyethylene lens,and preliminary experimental results were made by this experiment system.

【基金】 国家973计划(2007CB310408);国家自然科学基金(11004140、60977009);北京市教育委员会科技面上项目(11224010011)
  • 【文献出处】 红外与激光工程 ,Infrared and Laser Engineering , 编辑部邮箱 ,2013年06期
  • 【分类号】TN21
  • 【被引频次】8
  • 【下载频次】266
节点文献中: 

本文链接的文献网络图示:

本文的引文网络