Results 71 to 80 of about 66,297 (236)
Remote SensingMicro-Doppler signatures play a crucial role in capturing target features for the radar classification task, and the time–frequency distribution method is widely used to represent micro-Doppler signatures in many applications including human activities ...
Beili Ma, Baixiao Chen
doaj +1 more source
Study on Weather Radar Echo Data Generation Based on DCGAN
IEEE Access, 2019 Doppler weather radar can detect the changes in precipitation clouds for short-term forecasting. In the process of development of Doppler weather radar and weather identification algorithms, some typical Doppler weather radar base data corresponding to ...
Haijiang Wang +4 more
doaj +1 more source
Doppler Problems in Orthogonal MIMO Radars
2006 IEEE Conference on Radar, 2006 This paper presents a construction methodology waveform design with low cross-correlation, autocorrelation peak sidelobe levels and resilience to Doppler for orthogonal multiple-input multiple-output (MIMO) radar applications. It shows that an existing numerical solution only addresses autocorrelation and cross-correlation properties with the result ...
Khan, H, Edwards, D, IEEE
openaire +2 more sources
River Research and Applications, EarlyView.ABSTRACT Understanding how changes in catchment conditions affect ecohydrology in response to rainfall‐runoff events is crucial when developing informed strategies to enhance flow resilience, restore natural habitats, interpret water quality data or reduce flood risk.
Josie Ashe +7 more
wiley +1 more source
On the potential use of radar-derived information in operational numerical weather prediction [PDF]
, 1986 Estimates of requirements likely to be levied on a new observing system for mesoscale meteonology are given. Potential observing systems for mesoscale numerical weather prediction are discussed.
Mcpherson, R. D.
core +1 more source
Feature diversity for optimized human micro-doppler classification using multistatic radar [PDF]
, 2017 This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time ...
Fioranelli, Francesco +3 more
core +2 more sources
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT The raindrop size distribution (DSD) plays an essential role in understanding rain attenuation effects at extremely high frequencies (EHFs). Over 1 year of DSD measurements was taken at different Köppen–Geiger climate classifications within the United States. Optical disdrometers from Thies Clima were used to measure both the size and velocity
Eugene S. Hong +3 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2021 The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju +3 more
doaj +1 more source
Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
, 2014 The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Balleri, Alessio +2 more
core +1 more source
High Voltage, EarlyView.ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma +4 more
wiley +1 more source