Results 61 to 70 of about 455,156 (214)

Radar Maxima: Calibrated Area‐Based Probabilistic Forecasts for Heavy Precipitation

Meteorological Applications, Volume 33, Issue 2, March/April 2026.
Radar Maxima is a calibrated area‐based probabilistic forecast product for heavy precipitation. Radar precipitation within 40 km neighbourhoods is aggregated to statistically upscale ICON‐D2‐EPS. The product is designed to overcome inherent limitations of point‐based forecasts, which often yield low probabilities for extreme events. ABSTRACT We present,
Reinhold Hess
wiley   +1 more source

Detection Capability Improvement of High PRF FM Ranging Airborne Radar with Clutter Rejection [PDF]

Journal of Electromagnetic Engineering and Science
In this paper, the clutter rejection threshold corresponding to the maximum Doppler frequency of mainlobe clutter in high pulse repetition frequency airborne radar with frequency modulation (FM) ranging is proposed.
Ji Hwan Yoon, Jin Ju Won, Ji Eun Roh
doaj   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Improved Clutter Suppression and Detection of Moving Target with a Fully Polarimetric Radar

Remote Sensing
Remote sensing of moving targets, particularly pedestrians on the road, is crucial for advanced driver assistance systems. However, pedestrian detection using the radar system remains an ongoing challenge due to the radar cross section (RCS) of ...
Zhilong Zhao, Zhongkai Wen, Changhu Xue, Zhiying Cui, Xutao Hou, Haibin Zhu, Yaxin Mu, Zongqiang Liu, Zhenghuan Xia, Xin Liu   +9 more
doaj   +1 more source

Evaluation of Surface Clutter for Future Geostationary Spaceborne Weather Radar

Atmosphere, 2017
Surface clutter interference will be one of the important problems for the future of geostationary spaceborne weather radar (GSWR). The aim of this work is to provide some numerical analyses on surface clutter interference and part of the performance ...
Xuehua Li, Jianxin He, Chuanzhi Wang, Shunxian Tang, Xiaoyu Hou   +4 more
doaj   +1 more source

Modeling the Statistics of Microwave Radar Sea Clutter

IEEE Aerospace and Electronic Systems Magazine, 2019
One of the key requirements of a radar system is to detect targets against the background interference. This can be a challenging problem in the maritime domain when the sea moves in a complex manner and the characteristics are time-varying or ...
L. Rosenberg, S. Watts, M. Greco
semanticscholar   +1 more source

Enhancing Low‐Latitude Ionospheric Irregularity Prediction With Generalized Linear Models

Space Weather, Volume 24, Issue 3, March 2026.
Abstract The ionosphere poses challenges for accurate forecasting due to its complexity and variability. Irregularities in the lower ionosphere are influenced by local time, season, geographic location, solar activity and space weather, complicating precise predictions.
Alysson Brhian, Marco A. Ridenti, Francisco Azpilicueta, Mauricio Gende, Marisa Roberto   +4 more
wiley   +1 more source

A Weather Radar Ground Clutter Suppression Method Using Adaptive Coherent Pulse Integration

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ground clutter poses a significant challenge to the accuracy of weather radar products, especially for aeroecology monitoring. Operational weather radar commonly employs a fixed coherent pulse integration (CPI) for clutter suppression.
Rui Wang, Huafeng Mao, Kai Cui, Zujing Yan, Yunlong Li, Dongli Wu, Cheng Hu   +6 more
doaj   +1 more source

Radio Propagation in Railway Corridors Through Dense Forests–Measurement and Modeling at 460 MHz

Radio Science, Volume 61, Issue 3, March 2026.
Abstract Current train signaling systems are being replaced by advanced systems like Communications‐Based Train Control, European Rail Traffic Management System, and Positive Train Control, which rely on radio networks. However, railways operating in dense forest environments face unique challenges for wireless systems due to high levels of signal ...
Carlos Alberto Sanches, André Felipe Henriques Librantz, Peterson Adriano Belan   +2 more
wiley   +1 more source

Harnessing Data for Flood Prediction: A Systematic Review of Forecasting Techniques and Information Sources

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flood forecasting has undergone significant development over the past two decades, with researchers exploring a range of innovative approaches to quantify both the hazards and risks associated with flood events across a range of magnitudes and frequencies.
Amirali Davary, Pete Melville‐Shreeve, Richard Brazier, Albert S. Chen   +3 more
wiley   +1 more source