@inproceedings{3cac504772234c46aaa2aba8d6a6862d,
title = "Airborne three-dimensional cloud tomography",
abstract = "We seek to sense the three dimensional (3D) volumetric distribution of scatterers in a heterogenous medium. An important case study for such a medium is the atmosphere. Atmospheric contents and their role in Earth's radiation balance have significant uncertainties with regards to scattering components: aerosols and clouds. Clouds, made of water droplets, also lead to local effects as precipitation and shadows. Our sensing approach is computational tomography using passive multi-angular imagery. For light-matter interaction that accounts for multiple-scattering, we use the 3D radiative transfer equation as a forward model. Volumetric recovery by inverting this model suffers from a computational bottleneck on large scales, which include many unknowns. Steps taken make this tomography tractable, without approximating the scattering order or angle range.",
author = "Aviad Levis and Schechner, {Yoav Y.} and Amit Aides and Davis, {Anthony B.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Computer Vision, ICCV 2015 ; Conference date: 11-12-2015 Through 18-12-2015",
year = "2015",
month = feb,
day = "17",
doi = "10.1109/ICCV.2015.386",
language = "الإنجليزيّة",
series = "Proceedings of the IEEE International Conference on Computer Vision",
pages = "3379--3387",
booktitle = "2015 International Conference on Computer Vision, ICCV 2015",
}