1 citations · 1 across the 4 of their papers we have counts for
4 papers
The Impact of Cumulus Clouds and CCNs Regeneration on Aerosol Vertical Distribution and Size
Yael Arieli, Alexander Khain, Ehud Gavze +3
This study employs a high-resolution (10m) System for Atmospheric Modeling (SAM) coupled with the Spectral Bin Microphysical (SBM) scheme to thoroughly investigate the processes go…
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis
Roi Ronen, Ilan Koren, Aviad Levis +3
Significant uncertainty in climate prediction and cloud physics is tied to observational gaps relating to shallow scattered clouds. Addressing these challenges requires remote sens…
3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky +1
We present 3DeepCT, a deep neural network for computed tomography, which performs 3D reconstruction of scattering volumes from multi-view images. Our architecture is dictated by th…
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
Roi Ronen, Yoav Y. Schechner, Eshkol Eytan
We derive computed tomography (CT) of a time-varying volumetric translucent object, using a small number of moving cameras. We particularly focus on passive scattering tomography,…