集成技术2016，Vol.5Issue(5)：49-58,10.
空间欠采样太赫兹时域光谱成像方法
The Spatial Undersampling Method of Terahertz Time Domain Spectral Imaging
摘要
Abstract
Terahertz time domain spectroscopy has been widely used in both spectral analysis and imaging applications. Existing terahertz time domain spectroscopy imaging systems usually suffered the low scanning speed and huge data storage. To solve this problem, an efficient terahertz imaging method based on the compressed sensing theory was presented in this paper. By controlling the scanning motor to perform a non-equal interval sampling of the target, a group of under-sampled terahertz signal can be obtained. Based on the under-sampled signal, the compressed sensing algorithm is applied to reconstruct the complete terahertz image. The results show that, when the compression ratio is 0.5, the correlation coefficient between the reconstructed terahertz signal and the fully sampled THz signal can reach 99.95%. By analyzing the reconstructed terahertz image, the image areas with smooth intensity changing or low frequency component in frequency domain can be well recovered. The proposed method provides a practical means for efficient terahertz imaging applications.关键词
太赫兹时域光谱成像/压缩感知/空间欠采样/压缩比Key words
terahertz time domain spectral imaging/compressed sensing/spatial under sampling/compression ratio分类
信息技术与安全科学引用本文复制引用
佘荣斌,刘文权,周志盛,鲁远甫,董玉明,焦国华,吕建成..空间欠采样太赫兹时域光谱成像方法[J].集成技术,2016,5(5):49-58,10.基金项目
国家自然科学基金项目(61205101)；深圳市科技计划项目(JCYJ20140417113130693、GJHZ20140417113430592、JCYJ20150925163313898) （61205101）
