Yoav Y. Schechner: Research


3D Radiative Transfer Tomography

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.


  1. Aviad Levis, Yoav Y. Schechner, Anthony B. Davis, “Multiple-scattering microphysics tomography,” Proc. IEEE CVPR 2017.
  2. Yoav Y. Schechner, “Distributed views across media: From space to ocean-depths.” EarthVision Workshop at CVPR 2017. Invited Talk
  3. Aviad Levis, Amit Aides, Yoav Y. Schechner, Anthony B. Davis and Vadim Holodovsky, “Inverse-scattering bridging micron to kilometer scales.” CVPR Workshop on Computational Cameras and Displays 2017. Invited Talk
  4. Aviad Levis, “Remote sensing of 3D cloud microphysics via radiative transfer.” JpGU-AGU Joint Meeting, Makuhari Messe, Japan 2017 Invited Talk
  5. Aviad Levis, “ Three-dimensional microphysical tomography of clouds,.” The 16th Electromagnetic and Light Scattering Conference, Maryland 2017 Invited Talk
  6. Vadim Holodovski, Yoav Y. Schechner, Anat Levin, Aviad Levis and Amit Aides, “In-situ multi-view multi-scattering stochastic tomography,” Proc. IEEE ICCP 2016.
  7. Yoav Y. Schechner, “ Atmospheric 3D volumetric recovery,” Royal Society International Scientific Seminar - Imaging in Graphics, Vision and Beyond, 2016. Invited Talk
  8. Aviad Levis, Yoav Y. Schechner, Amit Aides, and Anthony B. Davis, “3D Cloud tomography via solar radiative transfer,” International Radiation Symposium 2016.
  9. Aviad Levis, Yoav Y. Schechner, Amit Aides, and Anthony B. Davis, “3D Cloud tomography using solar radiative transfer,” Atmospheric Radiation Science Workshop 2016.
  10. Aviad Levis, Yoav Y. Schechner, Amit Aides, Anthony B. Davis, “Airborne three-dimensional cloud tomography,” Proc. IEEE ICCV 2015. Oral
  11. D. J. Diner, J. Chen, A. B. Davis, M. J. Garay, O. V. Kalashnikova, F. Seidel, M. Tosca, G. van Harten, F. Xu, A. Levis, Y. Schechner, “Capabilities and challenges in remote sensing of aerosol (and cloud) properties using multiangular and polarimetric imaging,” Gordon Research Conference, Radiation and Climate 2015. Invited Talk


  1. Airborne three-dimensional cloud tomography. A narrated presentation in YouTube, of the ICCV'15 talk.
  2. A one-minute silent video-spotlight for ICCV'15, in YouTube.
  3. "3D volumetric scattering tomography" (42 Mb, PowerPoint). This presentation covers the ICCP'15 and ICCP'16 works, i.e., using both deterministic and stochastic radiative transfer algorithms (either SHDOM or Monte-Carlo). It covers imaging of the medium either externally (from high altitude) or in-situ (from a ground-network).

Software and Data

  1. We are eager to share the codes we wrote. Email Aviad Levis to get the code directly from him, with direct guidance on instalation steps and couplings between software packages. We hope that in time, the code and instalations will be sufficiently organized to be placed online foolproof.
  2. AirMSPI data, from NASA.

Related Research

  1. Aerosol Distribution Tomography
  2. Clouds in the Cloud
  3. Turbulence Tomography
  4. Spaceborne Computational Photography
  5. Instant Dehazing
Brief video about the work.


Images of the AirMSPI data.