10 December 1999 Imaging and localization in turbid media
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Abstract
We apply out previously-developed turbid-media backpropagation algorithm to imaging extended objects imbedded in turbid media such as clouds. Although the backpropagation algorithm was developed initially for biomedical applications, the underlying development is general enough to encompass imaging objects imbedded in any sort of turbid media whose scattering properties dominate their absorption properties. For non-biomedical applications, imaging data is usually obtained only for a limited number of view angles. As a result, we look at the potential of the backpropagation algorithm to reconstruct an image of an object, imbedded in a cloud, from a single view. Using both computer-simulated data and laboratory data, we show that the backpropagation algorithm successfully increases resolution in these types of images. Because the backpropagation algorithm incorporates a depth-dependent deconvolution filter, it turns out that the optimal image quality obtained in the reconstruction occurs for the deconvolution filter which corresponds to the location of the object in the medium. This surprising result permits object localization in the range dimension even when the illuminating radiation is continuous-wave illumination, such as sunlight.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles L. Matson, Charles L. Matson, Hanli Liu, Hanli Liu, Barbara Tehan Landesman, Barbara Tehan Landesman, Ryan Christopher, Ryan Christopher, } "Imaging and localization in turbid media", Proc. SPIE 3866, Optics in Atmospheric Propagation and Adaptive Systems III, (10 December 1999); doi: 10.1117/12.371336; https://doi.org/10.1117/12.371336
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