Title :
Image reconstruction for air pollution based on passive FTIR with computed tomography
Author :
Jing Fang ; Uezhi Yang
Author_Institution :
Lab. of Image Inf. Process., Hefei Univ. of Technol., Hefei, China
Abstract :
The image reconstruction method based on passive Fourier transform infrared (FTIR) coupled with computed tomography is presented in this paper: passive FTIR is used to obtain the path integral concentration of air pollution, combined with additive ART □ algorithm for reconstructing the two-dimensional distribution map of the air pollution. Detection principle, reconstruction algorithms, and optical telemetry structure design of the method is described in detail. A Gaussian function is applied to simulate the concentration distribution of polluting gases which spread at fixed point in the atmosphere. The concentration is reconstructed according to fan-beam geometry of passive FTIR The quality of the reconstruction image is assessed from the relative peak error, peak position error, and normalized mean square distance. It is discussed that the resolution is critical for the reconstruction quality: The final choice of grid resolution must balance accurate peak value reconstruction versus presence of pseudo-peaks. Based on this method, it is possible to reconstruct a complete concentration of air pollution, to locate the source emissions, and to accurately describe the process of their regional transmission.
Keywords :
Fourier transforms; Gaussian processes; air pollution; environmental science computing; image reconstruction; FTIR; Fourier transform infrared; Gaussian function; air pollution; computed tomography; fan beam geometry; image reconstruction; mean square distance; optical telemetry structure design; passive FTIR; path integral concentration; peak value reconstruction; regional transmission; two dimensional distribution map; Air pollution; Atmospheric measurements; Image reconstruction; Monitoring; Optical sensors; Pixel; Pollution measurement; algebraic reconstruction technology; computed tomography; image reconstruction; passive FTIR;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647593