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CAS IR Grid
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长春光学精密机械与物... [7]
西安光学精密机械研究... [2]
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OAI收割 [14]
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会议论文 [7]
期刊论文 [7]
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Physics [1]
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BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging
期刊论文
OAI收割
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:
Wei, Zechen
;
Liu, Yanjun
;
Zhu, Tao
;
Yang, Xin
;
Tian, Jie
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2024/02/22
Magnetic particle imaging
deep learning
self-attention mechanism
time-frequency spectrum
background signal
Research on data processing method for detection of small and weak targets in space
会议论文
OAI收割
ELECTR NETWORK, 2022-11-24
作者:
Sen, Tian
;
Yan, Wen
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/06/19
the Milky Way's background
low signal to noise ratio
target detection
multiframe superposition
Controllable synthesized diamond/CNWs film as a novel nanocarbon electrode with wide potential window and enhanced S/B ratio for electrochemical sensing
期刊论文
OAI收割
APPLIED SURFACE SCIENCE, 2021, 卷号: 551, 页码: 9
作者:
Zhou, Meiqi
;
Zhai, Zhaofeng
;
Liu, Lusheng
;
Zhang, Chuyan
;
Yuan, Ziyao
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/10/15
Thin film
Diamond/carbon nanowalls
Potential window
Signal to background ratio
Electrochemical sensing
Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 150864-150877
作者:
Xi, Jiangbo
;
Xiang, Yaobing
;
Ersoy, Okan K.
;
Cong, Ming
;
Wei, Xin
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2020/10/23
Space debris
Feature extraction
Machine learning
Signal to noise ratio
Object detection
Image sequences
Optical imaging
Space debris detection
background estimation
candidate region extraction
deep learning
An Improved Background-Correction Algorithm for Raman Spectroscopy Based on the Wavelet Transform
期刊论文
OAI收割
Applied Spectroscopy, 2019, 卷号: 73, 期号: 1, 页码: 78-87
作者:
M.B.Chi
;
X.X.Han
;
Y.Xu
;
Y.Wang
;
F.F.Shu
  |  
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2020/08/24
Raman spectroscopy,background correction,signal processing,wavelet,transform,spectra
A critical review of advances in surface plasmon resonance imaging sensitivity
期刊论文
OAI收割
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2017, 卷号: 97, 页码: 354-362
作者:
Liu, Chanjuan
;
Hu, Feichi
;
Yang, Wei
;
Xu, Jiying
;
Chen, Yi
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2019/04/09
Surface Plasmon Resonance Imaging
Sensitivity Enhancement
Chip Technology
Signal Amplification
Noise And Background Suppression
Comparative Study on Laser Induced Breakdown Spectroscopy Based on Single Pulse and Re-Heating Orthogonal Dual Pulse
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 卷号: 37, 期号: 2, 页码: 588-593
作者:
Yu Yang
;
Zhao Nan-jing
;
Fang Li
;
Meng De-shuo
;
Gu Yan-hong
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2018/05/02
Laser-induced Breakdown Spectroscopy
Orthogonal Dual-pulse
Spectral Enhancement
Signal-to-background Ratio
Plasma Temperature
Electron Density
Interference effect on resonance studies in searches of heavy particles
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MODERN PHYSICS A, 2016, 卷号: 31, 期号: 14-15, 页码: 1650083
作者:
Bian, LG (reprint author), Chinese Acad Sci, State Key Lab Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China.
;
Bian, LG (reprint author), Chinese Acad Sci, Kavli Inst Theoret Phys China, Inst Theoret Phys, Beijing 100190, Peoples R China.
;
Bian, LG
;
Liu, D
;
Shu, J
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/10/13
Signal-background Interference
w ' Boson
Lhc Run Ii
Heavy Particle Searches
A hybrid median filter for enhancing dim small point targets and its fast implementation (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Multimedia and Signal Processing, CMSP 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yang Q.
收藏
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浏览/下载:22/0
  |  
提交时间:2013/03/25
Weak stars and middle altitude orbit satellites or high altitude orbit satellites are presented as dim point targets in images of astronomical observation. They have low intensity and occupy few pixels in image. In most situations
the background of sky is always ununiform and there exists pulse noises. Thus results in targets submerging in background noises and low signal noise ratio (SNR). Median filter is an effective method for removing pulse noise. But it can blur image after modifying gray of non-noise pixels when image has low SNR. A hybrid median filter algorithm is proposed to process low SNR dim point targets image. The newly proposed method can suppress the pulse noises
also can increase target $SNR$ and does not add extra fake targets. The time complexity of median filter is O(N2)(N is the widow size) and is difficult to implement in hardware. For quasi real time application
a fast implementation of our hybrid median filter is proposed to reduce the time complexity to O(N). Experimental results show that the newly proposed algorithm is superior to ordinary median filter and fast median filter by comparing visual effect and performance. 2011 IEEE.
Evaluation of the operating range for ground-based infrared imaging tracking system (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Zhang Z.-D.
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2013/03/25
Ground-based infrared imaging tracking system (GIITS) is of great importance for aerial target warning and guard. The operating range is one of the key performance specifications
on the other
which should be calculated
calculate the radiation power received on the detector in order to analysis whether the output signal meets the detection requirements or not
analyzed and studied during the whole GIITS design process. The operating range is mostly influenced by a few factors
without considering the effect of the background radiation. By improving of the traditional method
including atmospheric attenuation
a new operating range calculation model of the GIITS was established based on two requirements. One is that the image size of observed target should meet the requirement of the processor signal extraction. The number of the pixel occupied by target image should be more than 9. The other is that the signal noise ratio (SNR) of the GIITS should not be less than 5 to meet the requirements of the target detection probability and spatial frequency. The SNR calculation equation in form of energy is deduced and the radiation characteristic of the observed target and background are analyzed. When evaluate the operating range of the GIITS using the new method
the performance of GIITS and feature of target and background. This paper firstly makes analysis and summarization on the definite localizations of the traditional operating range equation of the GIITS. The localizations are mainly in two aspects. On one hand
we should successively calculate two operating range values according to two requirements mentioned above and choose the minimum value as the analytic result. In the end
the dispersion of the image and the effect of image dispersion are not considered in the traditional method
an evaluation of operating range for fighter aircraft is accomplished as an example. The influence factors in every aspect on operating range were explored by the calculated result. The new operating range calculation model provides the theoretical basis for the design and applications as well as the comprehensive evaluation of a GIITS. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).