High throughput dual-wavelength temperature distribution imaging via compressive imaging
文献类型：期刊论文
| 作者 | Yao Xu-Ri; Lan Ruo-Ming; Liu Xue-Feng; Zhu Ge; Zheng Fu; Yu Wen-Kai; Zhai Guang-Jie; Yao, Xu-Ri (yaoxuri@aliyun.com) |
| 刊名 | Optics Communications
 |
| 出版日期 | 2018 |
| 卷号 | 410页码:287-291 |
| ISSN号 | 0030-4018 |
| 英文摘要 | Thermal imaging is an essential tool in a wide variety of research areas. In this work we demonstrate high-throughput double-wavelength temperature distribution imaging using a modified single-pixel camera without the requirement of a beam splitter (BS). A digital micro-mirror device (DMD) is utilized to display binary masks and split the incident radiation, which eliminates the necessity of a BS. Because the spatial resolution is dictated by the DMD, this thermal imaging system has the advantage of perfect spatial registration between the two images, which limits the need for the pixel registration and fine adjustments. Two bucket detectors, which measures the total light intensity reflected from the DMD, are employed in this system and yield an improvement in the detection efficiency of the narrow-band radiation. A compressive imaging algorithm is utilized to achieve under-sampling recovery. A proof-of-principle experiment was presented to demonstrate the feasibility of this structure. © 2017 Elsevier B.V. |
| 语种 | 英语 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/6074]  |
| 专题 | 国家空间科学中心_空间技术部 |
| 通讯作者 | Yao, Xu-Ri (yaoxuri@aliyun.com) |
| 推荐引用方式 GB/T 7714 | Yao Xu-Ri,Lan Ruo-Ming,Liu Xue-Feng,et al. High throughput dual-wavelength temperature distribution imaging via compressive imaging[J]. Optics Communications,2018,410:287-291. |
| APA | Yao Xu-Ri.,Lan Ruo-Ming.,Liu Xue-Feng.,Zhu Ge.,Zheng Fu.,...&Yao, Xu-Ri .(2018).High throughput dual-wavelength temperature distribution imaging via compressive imaging.Optics Communications,410,287-291. |
| MLA | Yao Xu-Ri,et al."High throughput dual-wavelength temperature distribution imaging via compressive imaging".Optics Communications 410(2018):287-291. |
入库方式： OAI收割
来源：国家空间科学中心
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