Results 21 to 30 of about 235,258 (299)
Drones Classification by the Use of a Multifunctional Radar and Micro-Doppler Analysis
Drones, 2022 The classification of targets by the use of radars has received great interest in recent years, in particular in defence and military applications, in which the development of sensor systems that are able to identify and classify threatening targets is a
Mauro Leonardi +2 more
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Low-resolution Airborne Radar Air/ground Moving Target Classification and Recognition
Leida xuebao, 2014 Radar Target Recognition (RTR) is one of the most important needs of modern and future airborne surveillance radars, and it is still one of the key technologies of radar.
Wang Fu-you, Luo Ding, Liu Hong-wei
doaj +1 more source
Automatic Target Classification in GMTI Airborne Scenario
International Journal of Technology, 2016 Ground moving radar target classification is one of the recent research issues that has arisen in an airborne ground moving target indicator (GMTI) scenario. This work presents a novel technique for classifying individual targets depending on their radar
Mousumi Gupta +2 more
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Three-Dimensional Imaging with Bistatic Vortex Electromagnetic Wave Radar
Remote Sensing, 2022 The vortex electromagnetic wave radar based on monostatic geometry can realize the imaging of a radar target in both range dimension and azimuth dimension by adjusting vortex electromagnetic wave modes, but it has no ability to distinguish the elevation ...
Jia Liang +4 more
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Sensors, 2021 The classification and recognition of radar clutter is helpful to improve the efficiency of radar signal processing and target detection. In order to realize the effective classification of uniform circular array (UCA) radar clutter data, a ...
Bin Yang +6 more
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Neural Network For Polarimetric Radar Target Classification
, 2006 Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
BERIZZI, FABRIZIO +4 more
openaire +4 more sources
Remote SensingClassification of ground and low-altitude targets in radar remote sensing is challenging because environmental clutter and noise can significantly degrade the discriminability of target echoes, especially under complex outdoor observation conditions.
Peilong Hu +3 more
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Deep learning-based explainable target classification for synthetic aperture radar images
International Conference on Human System Interaction, 2020 Deep learning has been extensively useful for its ability to mimic the human brain to make decisions. It is able to extract features automatically and train the model for classification and regression problems involved with complex images databases. This
Husanbir Mandeep, S. Pannu, A. Malhi
semanticscholar +1 more source
Radar target classification using improved Dempster–Shafer theory
The Journal of Engineering, 2019 This study considers the problem of coarse classification of targets using multifunction radar. Several methods are available for classification such as decision trees, Dempster–Shafer, Bayes, neural networks, etc. A different approach to assign the mass
Parth Mehta +3 more
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Aerosol - Cloud Target Classification in HALO Lidar/Radar Collocated Measurements [PDF]
EPJ Web of Conferences, 2020 Particle attenuated backscatter and depolarization ratio at 532 nm from the WALES (Water Vapor Lidar Experiment in Space) instrument are used in combination with the radar reflectivity from the 35 GHz MIRA35 cloud radar in order to perform an aerosol ...
Marinou Eleni +6 more
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