Invention Grant
- Patent Title: Bayesian approach for gas concentration reconstruction based on tunable diode laser absorption spectroscopy
- Patent Title (中): 基于可调二极管激光吸收光谱的贝叶斯气体浓度重建方法
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Application No.: US14345418Application Date: 2012-08-22
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Publication No.: US09218674B2Publication Date: 2015-12-22
- Inventor: Chao Yuan
- Applicant: Chao Yuan
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengessellschaft
- Current Assignee: Siemens Aktiengessellschaft
- Current Assignee Address: DE Munich
- International Application: PCT/US2012/051827 WO 20120822
- International Announcement: WO2013/043298 WO 20130328
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T11/20

Abstract:
Systems and methods construct a 2 dimensional (2D) gas concentration map (image) from data from one or more laser based absorption projection paths. Embodiments use a Bayesian approach to construct a 2D gas concentration map of a combustion region cross section plane by modeling the 2D map as a Gaussian Process (GP). The GP models the global correlation among all pixels in the 2D map. Data from one or more projection paths is propagated to all pixels in the map instead of just local pixels. The correlation among map pixels is used to propagate projection path data from map pixels traversed by a projection path to other map pixels.
Public/Granted literature
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |