Concept
Ground-penetrating radar
Related publications (24)
Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"
Michaël Unser, Pakshal Narendra Bohra, Alexis Marie Frederic Goujon, Sebastian Jonas Neumayer, Stanislas Ducotterd
Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems". The corresponding scripts can be accessed on GitHub (https://github.com/axgoujon/convex_ridge_regularizers). The data is organized as follows: - ct_data_sets.tar.gz: contains prepr ...
EPFL Infoscience2023Lightning interaction with the ionosphere
Marcos Rubinstein, Dongshuai Li
Lightning discharges, including cloud-to-ground (CG) and intracloud (IC) lightning, are known to emit electromagnetic pulses (EMPs) in a wide frequency band ranging from few Hz up to hundreds MHz [1]. During the breakdown and ionization processes (mostly f ...
IET2023Radatron: Accurate Detection Using Multi-resolution Cascaded MIMO Radar
Haitham Al Hassanieh, Junfeng Guan, Seyedsohrab Madani, Saurabh Gupta, Waleed Ahmed
Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack sufficient spatial resolution for semantic scene understanding. In this pa ...
SPRINGER INTERNATIONAL PUBLISHING AG2022First-person experience cannot rescue causal structure theories from the unfolding argument
Michael Herzog, Adrien Christophe Doerig, Aaron Schurger
We recently put forward an argument, the Unfolding Argument (UA), that integrated information theory (IIT) and other causal structure theories are either already falsified or unfalsifiable, which provoked significant criticism. It seems that we and the cri ...
Elsevier2022Three-dimensional tomography of red blood cells using deep learning
Demetri Psaltis, Joowon Lim, Ahmed Ayoub
We accurately reconstruct three-dimensional (3-D) refractive index (RI) distributions from highly ill-posed two-dimensional (2-D) measurements using a deep neural network (DNN). Strong distortions are introduced on reconstructions obtained by the Wolf tran ...
2020High-fidelity optical diffraction tomography of multiple scattering samples
Demetri Psaltis, Joowon Lim, Elizabeth Elena Antoine, Ahmed Ayoub
We propose an iterative reconstruction scheme for optical diffraction tomography that exploits the split-step nonparaxial (SSNP) method as the forward model in a learning tomography scheme. Compared with the beam propagation method (BPM) previously used in ...
Springer2019Spatial interpolation of precipitation from multiple rain gauge networks and weather radar data for operational applications in Alpine catchments
Giovanni De Cesare, Javier García Hernández, Bettina Schaefli, Alain Tommy Foehn
Increasing meteorological data availability and quality implies an adaptation of the interpolation methods for data combination. In this paper, we propose a new method to efficiently combine weather radar data with data from two heated rain gauge networks ...
2018A polarimetric radar operator to evaluate precipitation from the COSMO atmospheric model
Weather radars provide real-time measurements of precipitation at a high temporal and spatial resolution and over a large domain. A drawback, however, it that these measurements are indirect and require careful interpretation to yield relevant information ...
EPFL2018Blowing in the Wind
Every day tons of pollutants are emitted into the atmosphere all around the world. These pollutants are altering the equilibrium of our planet, causing profound changes in its climate, increasing global temperatures, and raising the sea level. The need to ...
EPFL2017Variability of the raindrop size distribution across scales in Mediterranean rainfall
Measurement of rain is made difficult by the high variability of the precipitation process, down to raindrop scale. Point measurements are generally accurate, but their lack of spatial representativeness is a significant limitation. Weather radars indirect ...
EPFL2016