Three-dimensional reconstruction of smoke aerosols based on simultaneous multi-view imaging and tomographic absorption spectroscopy

被引:1
作者
Han, Wenyu [1 ]
Zhang, Fuhao [2 ]
Liu, Wensong [1 ]
Huang, Shunyao [1 ]
Gao, Can [2 ]
Ma, Zhiyin [2 ]
Zhao, Fengnian [1 ,3 ]
Hung, David L. S. [1 ]
Li, Xuesong [2 ]
Xu, Min [2 ]
机构
[1] Shanghai Jiao Tong Univ, Univ Michigan, Joint Inst, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Ocean & Civil Engn, Shanghai 200240, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Atmospheric aerosols - Imaging systems - Tomography;
D O I
10.1364/OL.554678
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Smoke aerosols are mixtures of fine particles suspended in the atmosphere. Based on the absorption or scattering of light by these particles, researchers have conducted extensive optical diagnostics studies of smoke aerosol morphology and behavior. However, conventional optical methodologies are restricted to two-dimensional (2D) or single-point measurements. To overcome this constraint, this study introduces a novel three-dimensional (3D) diagnostic technique based on tomographic absorption spectroscopy (TAS) reconstruction. A 10-camera backlight imaging system is developed to simultaneously capture multi-view 2D images. Subsequently, smoke aerosols are reconstructed using multiplicative algebraic reconstruction techniques (MART). The morphology and relative concentration distribution are visualized through volume rendering and slice observation techniques, respectively. Overall, the proposed reconstruction approach has demonstrated its efficacy in elucidating the intricate 3D morphology and internal structure of smoke aerosols, showcasing its significant potential for advanced visualization. (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.
引用
收藏
页码:1385 / 1388
页数:4
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