scholarly journals Two-stage digital differential atomic spin precession detection method

2021 ◽  
Author(s):  
Dongying Chen ◽  
Yuanhong Yang ◽  
Wei Jin ◽  
Xuefeng Wang ◽  
Yuanxing Liu ◽  
...  
Keyword(s):  
Detection Method ◽  
Spin Precession ◽  
Two Stage ◽  
Atomic Spin

An atomic spin precession detection method based on electro-optic modulation in an all-optical K–Rb hybrid atomic magnetometer

2017 ◽  
Vol 50 (26) ◽  
pp. 265001 ◽  
Author(s):  
Yanhui Hu ◽  
Xuejing Liu ◽  
Yang Li ◽  
Han Yao ◽  
Lingling Dai ◽  
...  
Keyword(s):  
Detection Method ◽  
Spin Precession ◽  
Atomic Spin ◽  
Electro Optic ◽  
All Optical

Detection Method of Fiber Atomic Spin Precession Based on Circularly Polarized Probe Light

2019 ◽  
Vol 39 (1) ◽  
pp. 0112001
Author(s):  
杨远洪 Yang Yuanhong ◽  
刘琳妮 Liu Linni ◽  
陈东营 Chen Dongying ◽  
杨福铃 Yang Fuling ◽  
全伟 Quan Wei ◽  
...  
Keyword(s):  
Detection Method ◽  
Spin Precession ◽  
Probe Light ◽  
Circularly Polarized ◽  
Atomic Spin

scholarly journals A Real-time Driver Fatigue Detection Method Based on Two-Stage Convolutional Neural Network

2020 ◽  
Vol 53 (2) ◽  
pp. 15374-15379
Author(s):  
Hu He ◽  
Xiaoyong Zhang ◽  
Fu Jiang ◽  
Chenglong Wang ◽  
Yingze Yang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Detection Method ◽  
Driver Fatigue ◽  
Two Stage ◽  
Fatigue Detection

scholarly journals A Two-Stage Detection Method of Rigid Pantograph Catenary Contact Points Using DCNNS

2021 ◽  
Vol 1754 (1) ◽  
pp. 012071
Author(s):  
Danyang Zheng ◽  
Xuemin Lu ◽  
Wei Quan ◽  
Yuchen Peng ◽  
Yueping Liu ◽  
...  
Keyword(s):  
Detection Method ◽  
Two Stage ◽  
Contact Points

Study on an Infrared Multi-target Detection Method Based on the Pseudo-two-stage Model

2021 ◽  
pp. 103883
Author(s):  
Tong Zhou ◽  
Zhentao Yu ◽  
Yu Cao ◽  
Hongyang Bai ◽  
Yan Su
Keyword(s):  
Target Detection ◽  
Detection Method ◽  
Stage Model ◽  
Two Stage

scholarly journals Patch-Based Change Detection Method for SAR Images with Label Updating Strategy

2021 ◽  
Vol 13 (7) ◽  
pp. 1236
Author(s):  
Yuanjun Shu ◽  
Wei Li ◽  
Menglong Yang ◽  
Peng Cheng ◽  
Songchen Han
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Change Detection ◽  
Detection Method ◽  
Training Data ◽  
Synthetic Aperture ◽  
Learning Method ◽  
Sar Images ◽  
Two Stage ◽  
Second Stage

Convolutional neural networks (CNNs) have been widely used in change detection of synthetic aperture radar (SAR) images and have been proven to have better precision than traditional methods. A two-stage patch-based deep learning method with a label updating strategy is proposed in this paper. The initial label and mask are generated at the pre-classification stage. Then a two-stage updating strategy is applied to gradually recover changed areas. At the first stage, diversity of training data is gradually restored. The output of the designed CNN network is further processed to generate a new label and a new mask for the following learning iteration. As the diversity of data is ensured after the first stage, pixels within uncertain areas can be easily classified at the second stage. Experiment results on several representative datasets show the effectiveness of our proposed method compared with several existing competitive methods.

scholarly journals A τ−1 measurement across three orders of magnitude based on an atomic spin precession magnetometer in self-sustaining mode

AIP Advances ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 055305 ◽  
Author(s):  
Q. Zhao ◽  
B. L. Fan ◽  
S. G. Wang ◽  
L. J. Wang
Keyword(s):  
Spin Precession ◽  
Atomic Spin
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