Research on Cooperative Detection Technology of Networked Radar Based on Data Fusion

2021 ◽  
Author(s):  
Wen Jiang ◽  
Zhangxing Qi ◽  
Zhou Ye ◽  
Yachun Wan ◽  
Li Li
Keyword(s):  
Data Fusion ◽  
Detection Technology ◽  
Cooperative Detection ◽  
Networked Radar

Research and application of the underground fire detection technology based on multi-dimensional data fusion

2021 ◽  
Vol 109 ◽  
pp. 103753
Author(s):  
Haiyan Wang ◽  
Xiyang Fang ◽  
Yanchuan Li ◽  
Zhongya Zheng ◽  
Jianting Shen
Keyword(s):  
Data Fusion ◽  
Fire Detection ◽  
Detection Technology ◽  
Underground Fire

On-line image readout in CTEM

1994 ◽  
Vol 52 ◽  
pp. 400-401
Author(s):  
K.-H. Herrmann ◽  
W. D. Rau ◽  
R. Sikeler
Keyword(s):  
Primary Electron ◽  
Digital Information ◽  
Electron Hole ◽  
Detection Technology ◽  
Long Time ◽  
On Line ◽  
Electron Image ◽  
Optical Transfer ◽  
Detection Quantum Efficiency ◽  
Technical Solutions

Quantitative recording of electron patterns and their rapid conversion into digital information is an outstanding goal which the photoplate fails to solve satisfactorily. For a long time, LLL-TV cameras have been used for EM adjustment but due to their inferior pixel number they were never a real alternative to the photoplate. This situation has changed with the availability of scientific grade slow-scan charged coupled devices (CCD) with pixel numbers exceeding 106, photometric accuracy and, by Peltier cooling, both excellent storage and noise figures previously inaccessible in image detection technology. Again the electron image is converted into a photon image fed to the CCD by some light optical transfer link. Subsequently, some technical solutions are discussed using the detection quantum efficiency (DQE), resolution, pixel number and exposure range as figures of merit.A key quantity is the number of electron-hole pairs released in the CCD sensor by a single primary electron (PE) which can be estimated from the energy deposit ΔE in the scintillator,

Theory and Implementation of NDT Data Fusion

1995 ◽  
Vol 6 (1) ◽  
pp. 227-236 ◽  
Author(s):  
X. E. Gros ◽  
P. Strachan ◽  
D. W. Lowden
Keyword(s):  
Data Fusion

Too much, too little or just right: Designing data fusion for situation awareness

2004 ◽  
Author(s):  
Geoffrey B. Duggan ◽  
Simon Banbury ◽  
Andrew Howes ◽  
John Patrick ◽  
Samuel M. Waldron
Keyword(s):  
Data Fusion ◽  
Situation Awareness ◽  
Just Right

Assessment of different ti-rads systems using computer-aided detection technology

2019 ◽  
Author(s):  
Kuen-Yuan Chen ◽  
Ming-Hsun Wu ◽  
Chiung-Nien Chen ◽  
Argon Chen
Keyword(s):  
Computer Aided Detection ◽  
Detection Technology ◽  
Computer Aided
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