Imaging and localization in turbid media

Charles L. Matson; Hanli Liu; Barbara Tehan Landesman; Ryan Christopher

doi:10.1117/12.371336

10 December 1999 Imaging and localization in turbid media

Charles L. Matson, Hanli Liu, Barbara Tehan Landesman, Ryan Christopher

Proceedings Volume 3866, Optics in Atmospheric Propagation and Adaptive Systems III; (1999) https://doi.org/10.1117/12.371336
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

Charles L. Matson, Hanli Liu, Barbara Tehan Landesman, and Ryan Christopher "Imaging and localization in turbid media", Proc. SPIE 3866, Optics in Atmospheric Propagation and Adaptive Systems III, (10 December 1999); https://doi.org/10.1117/12.371336

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