1 citations · 2 across the 6 of their papers we have counts for
6 papers
Success Probability in Multi-View Imaging
Vadim Holodovsky, Masada Tzabari, Yoav Schechner +2
Platforms such as robots, security cameras, drones and satellites are used in multi-view imaging for three-dimensional (3D) recovery by stereoscopy or tomography. Each camera in th…
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…
C3IEL: Cluster for Cloud Evolution, ClImatE and Lightning
Daniel Rosenfeld, Celine Cornet, Shmaryahu Aviad +15
Clouds play a major role in Earth's energy budget and hydrological cycle. Clouds dynamical structure and mixing with the ambient air have a large impact on their vertical mass and…
Advances in 3D scattering tomography of cloud micro-physics
Masada Tzabari, Vadim Holodovsky, Omer Shubi +2
We introduce new adjustments and advances in space-borne 3D volumetric scattering-tomography of cloud micro-physics. The micro-physical properties retrieved are the liquid water co…
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…
In-situ multi-scattering tomography
Vadim Holodovsky, Yoav Y. Schechner, Anat Levin +2
To recover the three dimensional (3D) volumetric distribution of matter in an object, images of the object are captured from multiple directions and locations. Using these images t…