TOMOGRAPHIC RECONSTRUCTION OF AIR-POLLUTANTS - EVALUATION OF MEASUREMENT GEOMETRIES

We use numerical studies to evaluate 13 novel optical remote-sensing g eometries for tomographically reconstructing chemical pollutants in ai r. We simulate the imaging process from data acquisition to reconstruc tion using a battery of test images. We evaluate the reconstructions g enerated by each geometry for locating chemical leaks, identifying plu mes, and evaluating human chemical exposures. This approach uses three numerical image-quality measures for both static and time-varying con centration maps. Visual evaluation is the most useful method of evalua ting the geometries. The numerical measures are not always consistent with one another or with the visual evaluation. This research demonstr ates the feasibility of using geometries with only a few detectors for tomographic imaging of air pollutants. (C) 1997 Optical Society of Am erica.