Yoav Y. Schechner: Research


Aerosol Distribution Tomography

Aerosols affect climate, health and aviation. Currently, their retrieval assumes a plane-parallel atmosphere and solely vertical radiative transfer. We propose a principle to estimate the aerosol distribution as it really is: a three dimensional (3D) volume. The principle is a type of tomography. The process involves wide angle integral imaging of the sky on a very large scale. The imaging can use an array of cameras in visible light. We formulate an image formation model based on 3D radiative transfer. Model inversion is done using optimization methods, exploiting a closed-form gradient which we derive for the model-fit cost function. The tomography model is distinct, as the radiation source is unidirectional and uncontrolled, while off-axis scattering dominates the images.


  1. Amit Aides, Yoav Y. Schechner, Vadim Holodovsky, Michael J. Garay, and Anthony B. Davis “Multi sky-view 3D aerosol distribution recovery,” Opt. Express, 21(22), 25820–25833 (2013)
  2. Related Research

    1. Spaceborne Computational Photography
    2. Clouds in The Cloud
    3. Turbulence Tomography
    4. Instant Dehazing
Schematics of ground-based wide-angle cameras, performing integral imaging of the sky
Single-scatter renderings of different viewpoints of a sky that includes Haze Blobs.
Recoveries of aerosol scenes. Color represents aerosol density, in units of 10^6 particles/m^3.