Results 51 to 60 of about 2,069 (213)
Modeling the Amplitude Distribution of Radar Sea Clutter
Remote Sensing, 2019 Ship detection in the maritime domain is best performed with radar due to its ability to surveil wide areas and operate in almost any weather condition or time of day.
Sébastien Angelliaume +2 more
doaj +1 more source
QUALITY ASSESSMENT OF AN EXTENDED INTERFEROMETRIC RADAR DATA PROCESSING APPROACH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Radar data acquisition is a reliable technology to provide base data for topographical mapping. Its flexibility and weather independency makes radar data more attractive in comparison with traditional airborne data acquisition.
W. Tampubolon, W. Reinhardt
doaj +1 more source
MSWD: A Hybrid Machine‐Learning Framework for Slant Wet Delay Modeling
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.Abstract Space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI) are limited by direction‐dependent tropospheric delays, with slant wet delay (SWD) being the most variable component and a major error source.
Zhenyi Zhang, Benedikt Soja
wiley +1 more source
An Analysis of Hurricane Eyewall Ice Using a Novel Lagrangian Trajectory and Growth Model
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 11, 16 June 2026.Abstract Ice crystals in tropical cyclones (TCs) remain infrequently observed and difficult to model using Eulerian microphysics parameterizations. To better understand TC eyewall ice crystal processes, the Ice Crystal Trajectory Growth (ICTG) model, previously applied to an idealized squall line, was used to simulate Lagrangian ice crystal ...
Bruno S. Rojas +4 more
wiley +1 more source
Advanced Signal Processing For Multi-Mission Airborne Radar [PDF]
, 2018 With the technological advancement of the 21st century, functions of different radars are being merged. A multi-functional system brings the technology of remote sensing to a wide array of applications while at the same time reduces costs of ...
Nepal, Ramesh
core
Application of Machine Learning to Multiple Radar Missions and Operations [PDF]
, 2022 This dissertation investigated the application of Machine Learning (ML) in multiple radar missions. With the increasing computational power and data availability, machine learning is becoming a convenient tool in developing radar algorithms.
Shrestha, Yunish
core
Advanced Healthcare Materials, Volume 15, Issue 21, 5 June 2026.This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders
Sensors, 2018 In this work, we use deep neural autoencoders to segment oil spills from Side-Looking Airborne Radar (SLAR) imagery. Synthetic Aperture Radar (SAR) has been much exploited for ocean surface monitoring, especially for oil pollution detection, but few ...
Antonio-Javier Gallego +3 more
doaj +1 more source
Advancing Flexible Pressure Sensors for Next‐Generation Medical Monitoring
Advanced Sensor Research, Volume 5, Issue 6, June 2026.This review highlights recent advances in flexible pressure sensors for next‐generation medical monitoring. The sensing mechanisms, material and structural optimization strategies, and intelligent algorithms are systematically summarized. Emerging applications in cardiovascular, respiratory, neurological, laryngeal, and ocular disease monitoring are ...
Chunjun Su +4 more
wiley +1 more source
A new airborne network concept to improve air navigation safety
, 2021 8 S.This conceptual paper investigates the data exchange of on-board weather radar data of commercial passenger and cargo aircraft to improve weather coverage and subsequently air navigation safety.
O'Hagan, Daniel +11 more
core +1 more source