Study on the key technology of spectral reflectivity reconstruction based on sparse prior by a single-pixel detector
文献类型：期刊论文
| 作者 | Zhang, Leihong; Liang, Dong; Li, Bei; Kang, Yi; Pan, Zilan; Zhang, Dawei; Ma, Xiuhua |
| 刊名 | Photonics Res.
 |
| 出版日期 | 2016 |
| 卷号 | 4期号:3页码:115 |
| 通讯作者 | usstoe@vip.163.com |
| 英文摘要 | By studying the traditional spectral reflectance reconstruction method, spectral reflectance and the relative spectral power distribution of a lighting source are sparsely decomposed, and the orthogonal property of the principal component orthogonal basis is used to eliminate basis; then spectral reflectance data are obtained by solving a sparse coefficient. After theoretical analysis, the spectral reflectance reconstruction based on sparse prior knowledge of the principal component orthogonal basis by a single-pixel detector is carried out by software simulation and experiment. It can reduce the complexity and cost of the system, and has certain significance for the improvement of multispectral image acquisition technology. (C) 2016 Chinese Laser Press |
| 收录类别 | SCI |
| 资助信息 | National Natural Science Foundation of China [61405115]; Natural Science Foundation of Shanghai [14ZR1428400]; Innovation Project of Shanghai Municipal Education Commission [14YZ099]; National Basic Research Program of China (973 Program) [2015CB352004] |
| WOS记录号 | WOS:000376658500010 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/28433]  |
| 专题 | 上海光学精密机械研究所_空间激光信息技术研究中心 |
| 作者单位 | 中国科学院上海光学精密机械研究所 |
| 推荐引用方式 GB/T 7714 | Zhang, Leihong,Liang, Dong,Li, Bei,et al. Study on the key technology of spectral reflectivity reconstruction based on sparse prior by a single-pixel detector[J]. Photonics Res.,2016,4(3):115. |
| APA | Zhang, Leihong.,Liang, Dong.,Li, Bei.,Kang, Yi.,Pan, Zilan.,...&Ma, Xiuhua.(2016).Study on the key technology of spectral reflectivity reconstruction based on sparse prior by a single-pixel detector.Photonics Res.,4(3),115. |
| MLA | Zhang, Leihong,et al."Study on the key technology of spectral reflectivity reconstruction based on sparse prior by a single-pixel detector".Photonics Res. 4.3(2016):115. |
入库方式： OAI收割
来源：上海光学精密机械研究所
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