Results 111 to 120 of about 20,326 (218)

Analysis of Large Scale Spatial Variability of Soil Moisture Using a Geostatistical Method

Sensors, 2010
Spatial and temporal soil moisture dynamics are critically needed to improve the parameterization for hydrological and meteorological modeling processes.
Reza Khanbilvardi, Thomas H. Vonder Haar, Manajit Sengupta, Cynthia L. Combs, Andrew S. Jones, Tarendra Lakhankar   +5 more
doaj   +1 more source

Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification

, 2015
Objective. The main goal of this work is to develop a model for multi-sensor signals such as MEG or EEG signals, that accounts for the inter-trial variability, suitable for corresponding binary classification problems. An important constraint is that the
Burle, B, Roubaud, M-C, Spinnato, J, Torrésani, B   +3 more
core   +4 more sources

High frame-rate cardiac ultrasound imaging with deep learning

, 2018
Cardiac ultrasound imaging requires a high frame rate in order to capture rapid motion. This can be achieved by multi-line acquisition (MLA), where several narrow-focused received lines are obtained from each wide-focused transmitted line.
Adam, Dan, Blondheim, David, Bronstein, Alex M., Michailovich, Oleg, Senouf, Ortal, Vedula, Sanketh, Zibulevsky, Michael, Zurakhov, Grigoriy   +7 more
core   +1 more source

The spatio-temporal spectrum of turbulent flows

, 2015
Identification and extraction of vortical structures and of waves in a disorganised flow is a mayor challenge in the study of turbulence. We present a study of the spatio-temporal behavior of turbulent flows in the presence of different restitutive ...
Cobelli, P. J., di Leoni, P. Clark, Mininni, P. D.   +2 more
core   +1 more source

Spaceborne Polarimetric SAR Interferometry: Performance Analysis and Mission Concepts

EURASIP Journal on Advances in Signal Processing, 2005
We investigate multichannel imaging radar systems employing coherent combinations of polarimetry and interferometry (Pol-InSAR). Such systems are well suited for the extraction of bio- and geophysical parameters by evaluating the combined scattering ...
Cloude Shane R, Krieger Gerhard, Papathanassiou Konstantinos Panagiotis   +2 more
doaj   +1 more source

Interferometric phase reconstruction with temporal decorrelation model constraints for time-series InSAR surface deformation monitoring

International Journal of Digital Earth
The time series interferometric synthetic aperture radar (InSAR) (TSInSAR) is an effective technique for monitoring surface deformation with wide coverage and millimeter accuracy.
Peng Shen, Changcheng Wang, Xingjun Luo, Jun Hu, Jie Wan   +4 more
doaj   +1 more source

On the Effects of InSAR Temporal Decorrelation and Its Implications for Land Cover Classification: The Case of the Ocean-Reclaimed Lands of the Shanghai Megacity. [PDF]

Sensors (Basel), 2018
Ma G, Zhao Q, Wang Q, Wang Q, Liu M.
europepmc   +1 more source

Aerosol speckle effects on atmospheric pulsed lidar backscattered signals [PDF]

Lidar systems using atmospheric aerosols as targets exhibit return signal amplitude and power fluctuations which indicate speckle effects. The effects of refractive turbulence along the path on the aerosol speckle field propagation and on the ...
Murty, S. R.
core   +1 more source

An efficient method for estimating tropical forest canopy height from airborne PolInSAR data

Ecological Indicators
The study on PolInSAR forest canopy height(FCH) inversion is an essential branch within the SAR field, where the temporal decorrelation(TD) inherent in the interferometric complex coherence of repeat-pass Polarization Interferometric Synthetic Aperture ...
Hongbin Luo, Cairong Yue, Yong Wu, Xiaoli Zhang, Chi Lu, Guanglong Ou   +5 more
doaj   +1 more source

Temporal decorrelation by SK channels enables efficient neural coding and perception of natural stimuli. [PDF]

Nat Commun, 2016
Huang CG, Zhang ZD, Chacron MJ.
europepmc   +1 more source