Results 81 to 90 of about 134,102,892 (221)

Over the horizon maritime surveillance capability of DVB-T based passive radar

open access: yes, 2014
In this paper we explore the maritime surveillance capabilities of the Digital Video Broadcasting Terrestrial (DVBT) based Passive Bistatic Radar. Specifically we investigate the possibility to detect and localize vessels beyond the territorial waters ...
M. Sedehi   +8 more
core   +1 more source

The benefit of neighborhood methods for the assimilation of cloud‐affected radiances evaluated in observing‐system simulation experiments

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Neighborhood methods are commonly used in verification to avoid the double‐penalty issue. This study evaluates such methods for the assimilation of infrared and visible satellite observations and extends them to multiscale assimilation. Moreover, a novel technique is tested aimed at mitigating complex biases and structural errors in real‐world model ...
Lukas Kugler   +4 more
wiley   +1 more source

DETERMINING THE DISTANCE TO THE TARGET IN PASSIVE RADAR OF SURFACE OBJECTS [PDF]

open access: yesRadio Physics and Radio Astronomy
Subject and Purpose. While outperforming active radar methods for range, stealth, and energy consumption, passive radar has a significant disadvantage: it cannot determine the target distance and coordinates when only one reference receiving point is ...
I. M. Mytsenko, O. M. Roenko
doaj  

Climatological Model of Over‐the‐Horizon Radar

open access: yes, 2018
Published online 1 SEP 2018. This article also appears in: URSI General Assembly and Scientific Symposium (2017).Models of radar systems are required for a variety of reasons.
M. A. Cervera   +5 more
core   +1 more source

ASIRAS airborne radar resolves internal annual layers in the dry-snow zone of Greenland [PDF]

open access: yes, 2006
We present data from the European Space Agency's Airborne SAR/Interferometric Radar Altimeter System (ASIRAS), flown during the CryoVex 2004 field calibration/validation campaign, and new, high-resolution depth profiles of snow density measured in the ...
Shepherd, A. P.   +16 more
core   +1 more source

Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi   +5 more
wiley   +1 more source

Using a System-Theoretic Approach for Cyber Mission Assurance of the Royal Canadian Air Force Over the Horizon Radar System

open access: yes, 2023
Since 1958, the North American Aerospace Defence between Canada and the United States remains as the only bi-national military command in the world. Among many of its responsibilities, the need for early detection of threats against the North American ...
Kim, James Jaehak
core  

Temporal stability of soil moisture and radar backscatter observed by the advanced Synthetic Aperture Radar (ASAR) [PDF]

open access: yes, 2008
The high spatio-temporal variability of soil moisture is the result of atmospheric forcing and redistribution processes related to terrain, soil, and vegetation characteristics.
Annett Bartsch   +32 more
core   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga   +5 more
wiley   +1 more source

Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks

open access: yesLeida xuebao
Land-sea clutter classification is essential for boosting the target positioning accuracy of skywave over-the-horizon radar. This classification process involves discriminating whether each azimuth-range cell in the Range-Doppler (RD) map is overland or ...
Can LI   +3 more
doaj   +1 more source

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