A network of seven low-cost hemispheric sky-imaging cameras has been installed in the Los
Angeles basin. This network of cameras provides wide sky coverage to perform spatial solar …

Tomography aims to recover a three-dimensional (3D) density map of a medium or an
object. In medical imaging, it is extensively used for diagnostics via X-ray computed …

We present 3DeepCT, a deep neural network for computed tomography, which performs 3D
reconstruction of scattering volumes from multi-view images. The architecture is dictated by …

Cloud base height (CBH) is an important parameter for many applications such as aviation,
climatology or solar irradiance nowcasting (forecasting for the next seconds to hours ahead) …

All-sky imagers (ASIs) can be used to model clouds and detect spatial variations of cloud
attenuation. Such cloud modeling can support ASI-based nowcasting, upscaling of …

We derive computed tomography (CT) of a time-varying volumetric scattering object, using a
small number of moving cameras. We focus on passive tomography of dynamic clouds, as …

We introduce a differentiable monotonicity prior, useful to express signals of monotonic
tendency. An important natural signal of this tendency is the optical extinction coefficient, as …

Scattering-based computed tomography (CT) recovers a heterogeneous volumetric
scattering medium using images taken from multiple directions. It is a nonlinear problem …

We introduce a comprehensive method for space-borne 3-D volumetric scattering-
tomography of cloud microphysics, developed for the CloudCT mission. The retrieved …

The CloudCT project is a mission that aims to demonstrate 3D volumetric scattering
tomography of clouds. A formation of ten nanosatellites will simultaneously image cloud …