3D Remote Sensing
A space mission, directly derived from my Ph.D. research, to launch 10 nano-satellites which will orbit in a formation and gather multi-view observations of the atmosphere has won ERC Synergy funding of 14 Million Euro.
This mission is a joint collaboration with Weizmann Institute, Israel, and Zentrum für Telematik, Germany.
Recent advances in multi-view high-resolution instruments and computation power enable, in principle, 3D volumetric recovery of clouds. This is in contrast to current retrievals, which rely heavily on plane-parallel models and 1D radiative transfer. Plane-parallel models do not express the true 3D nature of the atmosphere, thus biasing retrievals. We pose and solve an inverse problem of passive atmospheric scatterer 3D tomography. The approach fits a microphysical 3D volumetric model of scatterers to multi-angular/multi-spectral images. The forward model is a numerical 3D radiative transfer solver. Model to data fit is posed as a high-dimensional optimization problem. The optimization is computationally tractable on large scales, thanks to an efficient algorithm we developed.
This is joint work with the Jet Propulsion Laboratory (NASA-Caltech), California, USA.
Felipe A. Mejia, Ben Kurtz, Aviad Levis, Íñigo de la Parra, Jan Kleissl, "Cloud tomography applied to sky images: A virtual testbed", Solar Energy, 2018.
Aviad Levis, Yoav Y. Schechner, Anthony B. Davis, “ Multiple-Scattering Microphysics Tomography”, Proc. IEEE CVPR, 2017.
Vadim Holodovsky, Yoav Y. Schechner, Anat Levin, Aviad Levis, Amit Aides, “In-Situ Multi-View Multi-Scattering Stochastic Tomography”, Proc. IEEE ICCP, 2016.
Aviad Levis, Yoav Y. Schechner, Amit Aides, Anthony B. Davis, “Airborne three-dimensional cloud tomography”, Proc. IEEE ICCV, 2015.
Danny Veikherman, Amit Aides, Yoav Y. Schechner and Aviad Levis, “Clouds in The Cloud”, Proc. ACCV, 2014.