Results 181 to 190 of about 1,487,802 (240)

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Why does typhoon Noru (2022) possess severe rapid intensification as explored by the extended Sawyer–Eliassen equation?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
As inferred from the Sawyer–Eliassen analyses, the intense diabatic heating located slightly inside the radius of maximum tangential wind (RMW) associated with a compact eyewall is mainly responsible for the severe RI of Noru, in contrast to typhoon Goni (2020) at a slower spinup despite similar RMW, due to the weaker diabatic heating. The severe RI of
Thi‐Chinh Nguyen, Ching‐Yuang Huang
wiley   +1 more source

Nowcasting convective cores using deep learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key findings: •$$ \bullet $$ Network for Nowcasting Convective Cores (NetNCC) has considerable potential for convective storm nowcasting and the development of early warning systems for extreme rainfall. •$$ \bullet $$ Skilful nowcasts of convective cores are obtained at fine spatial resolutions (<30km$$ <30\kern0.15em \mathrm{km} $$) for up to 2 hr ...
Jawairia A. Ahmad, Cornelia Klein, Christopher Taylor, Seonaid R. Anderson, Steven C. Wells, David C. Hogg   +5 more
wiley   +1 more source

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

Quarterly 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, Douglas J. Parker, Nadhir Ben Rached, Seonaid R. Anderson, Cornelia Klein, Steven C. Wells   +5 more
wiley   +1 more source

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Sensor Radar Networks for Indoor Tracking

IEEE Wireless Communications Letters, 2014
Sensor radars (SRs) are important for a variety of applications requiring passive tracking of moving targets. The accuracy of passive tracking is severely degraded by wireless propagation impairments such as multipath, clutter, and non line-of-sight conditions, especially in indoor environments.
Andrea Giorgetti, Andrea Conti, Moe Z. Win   +2 more
exaly   +5 more sources

An Antichaff Technique for Tracking Radar

European Radar Conference, 2005. EURAD 2005., 2005
The critical interference in radar systems is unwanted echo named clutter. Some important clutter includes echoes from land, weather (particularly rain), sea and deliberated chaff. Therefore, a military radar designer is faced with the problem of how to reject interference. In this paper, chaff elimination methods such as Doppler processing and log-FTC
H. Saidi, G.H. Askari, J. Akhlaghi, H. Mirmohammad Sadeghi   +3 more
openaire   +1 more source

Cognitive tracking radar

2010 IEEE Radar Conference, 2010
For the first time ever, this paper presents the design and implementation of a next-generation of tracking radar systems: the cognitive tracking radar (CTR). At the heart of the CTR, we have a cognitive waveform-selection (CWS) algorithm that can optimally pick the transmit waveform from a prescribed library, in response to information fed back from ...
Simon Haykin, Amin Zia, Ienkaran Arasaratnam, Yanbo Xue   +3 more
openaire   +1 more source

Silence tracking radar

2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002
A high performance linear FMCW radar sensor and its implementation as tracking radar are presented. The radar has been built with an all-solid state transmitter with 200 mw output power and two channel receivers with 9 dB noise figure. Tracking range of more than 10 km, angle error of better than 0.5 mrad and range error of better than 5 meters have ...
null Zhang Guanjie, null Guo Min, null Bao Yongjie   +2 more
openaire   +1 more source

Informative Radar Selection for Tracking in Radar Networks

IET International Radar Conference 2015, 2015
In radar networks, radar selection has played a more and more important role. Many radar selection methods have been proposed. Recently a novel method which is based on sparsity-aware matrix decomposition has been proposed to identify informative sensors for target tracking. However, this method had stringent constraints and was under the assumption of
Xueting Li Xueting Li, Wei Yi Wei Yi, Tianxian Zhang Tianxian Zhang, Guolong Cui Guolong Cui, Lingjiang Kong Lingjiang Kong, Xiaobo Yang Xiaobo Yang   +5 more
openaire   +1 more source

Monopulse MIMO Radar for Target Tracking

IEEE Transactions on Aerospace and Electronic Systems, 2011
We propose a multiple input multiple output (MIMO) radar system with widely separated antennas that employs monopulse processing at each of the receivers. We use Capon beamforming to generate the two beams required for the monopulse processing. We also propose an algorithm for tracking a moving target using this system.
Sandeep Gogineni, Arye Nehorai
openaire   +1 more source