Results 51 to 60 of about 99,868 (318)

Distributed Aperture Coherence-synthetic Radar Technology

Leida xuebao, 2017
The distributed aperture coherence-synthetic radar could accomplish long-range and high-precision detection performance according to include multi-unit radars and energy synthesize in space.
Lu Yaobing, Gao Hongwei, Zhou Baoliang
doaj   +1 more source

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, EarlyView.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

Theory and measure of certain image norms in SAR [PDF]

, 1984
The principal properties of synthetic aperture radar SAR imagery of point and distributed objects are summarized. Against this background, the response of a SAR (Synthetic Aperture Radar) to the moving surface of the sea is considered.
Raney, R. K.
core   +1 more source

Medicane characteristics from high‐resolution satellite radar observations

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study uses high‐resolution observations from satellite synthetic aperture radar (SAR) to reveal that medicanes, cyclones with tropical features in the Mediterranean basin, have dynamical characteristics with attributes comparable with those of tropical cyclones of similar intensities, but smaller outer sizes and Rossby numbers.
Arthur Avenas, Mario Marcello Miglietta, Alexis Mouche, Stavros Dafis, Aurélien Colin, Romain Husson, Emmanouil Flaounas   +6 more
wiley   +1 more source

Parametric Sparse Representation and Its Applications to Radar Sensing

Leida xuebao, 2016
Sparse signal processing has been utilized to the area of radar sensing. Due to the presence of unknown factors such as the motion of the targets of interest and the error of the radar trajectory, a predesigned dictionary cannot provide the optimally ...
Li Gang, Xia Xiang-Gen
doaj   +1 more source

Experimental Synthetic Aperture Radar with Dynamic Metasurfaces

, 2017
We investigate the use of a dynamic metasurface as the transmitting antenna for a synthetic aperture radar (SAR) imaging system. The dynamic metasurface consists of a one-dimensional microstrip waveguide with complementary electric resonator (cELC ...
Boyarsky, Michael, Fromenteze, Thomas, Imani, Mohammadreza F., Pulido-Mancera, Laura, Reynolds, Matthew, Sleasman, Timothy, Smith, David R.   +6 more
core   +2 more sources

Proposed satellite position determination systems and techniques for Geostationary Synthetic Aperture Radar [PDF]

, 2016
This paper proposes two different calibration techniques for Geostationary Synthetic Aperture Radar (GEOSAR) missions requiring a high precision positioning, based on Active Radar Calibrators and Ground Based Interferometry.
Broquetas Ibars, Antoni, Casado Blanco, David, Fernández Usón, Marc, Martin Fuster, Roger   +3 more
core   +2 more sources

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Enabling Under Ice Glider Operations: A Backseat Driver Approach

Journal of Field Robotics, EarlyView.
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang, Benjamin Allsup, Georgios Salavasidis, Stephen Woodward, Adeniyi Adenaya, Mike Smart, Alexis Johnson, Felipe Marques Dos Santos, Jake Ludgate, Daniel Matterson, Alvaro Lorenzo, J. Alexander Brearley, Alexander Brian Phillips   +12 more
wiley   +1 more source

Deep Learning Training Data for Phase Unwrapping of SAR Interferograms [PDF]

Geo Data
Phase unwrapping is an essential process in synthetic aperture radar interferometry that restores phase signals constrained within the range of (-π, π) to their true phase values.
Won-Kyung Baek, Hyung-Sup Jung
doaj   +1 more source