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.
Cite
Text
Levis et al. "Airborne Three-Dimensional Cloud Tomography." International Conference on Computer Vision, 2015. doi:10.1109/ICCV.2015.386Markdown
[Levis et al. "Airborne Three-Dimensional Cloud Tomography." International Conference on Computer Vision, 2015.](https://mlanthology.org/iccv/2015/levis2015iccv-airborne/) doi:10.1109/ICCV.2015.386BibTeX
@inproceedings{levis2015iccv-airborne,
title = {{Airborne Three-Dimensional Cloud Tomography}},
author = {Levis, Aviad and Schechner, Yoav Y. and Aides, Amit and Davis, Anthony B.},
booktitle = {International Conference on Computer Vision},
year = {2015},
doi = {10.1109/ICCV.2015.386},
url = {https://mlanthology.org/iccv/2015/levis2015iccv-airborne/}
}