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CAS IR Grid
机构
长春光学精密机械与物... [2]
地理科学与资源研究所 [1]
计算技术研究所 [1]
遥感与数字地球研究所 [1]
上海光学精密机械研究... [1]
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OAI收割 [6]
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会议论文 [3]
期刊论文 [3]
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2024 [1]
2018 [1]
2012 [1]
2010 [1]
2008 [1]
2007 [1]
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激光技术;激光物理与... [1]
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Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 7, 页码: 5062-5079
作者:
Wen, Peisong
;
Xu, Qianqian
;
Yang, Zhiyong
;
He, Yuan
;
Huang, Qingming
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/12/06
Optimization
Stability analysis
Stochastic processes
Measurement
Standards
Approximation algorithms
Machine learning algorithms
Machine learning
AUPRC
learning to rank
algorithm-dependent generalization
stability
Water footprint assessment for crop production based on field measurements: A case study of irrigated paddy rice in East China
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 610, 页码: 84-93
作者:
Cao Xinchun
;
Wu Mengyang
;
Shu Rui
;
Zhuo La
;
Chen Dan
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/09/25
Water footprint
Irrigated paddy rice
Water and fertilizer utilization processes
Field measurement
East China
Design and fabrication of imaging optical systems with freeform surfaces (EI CONFERENCE)
会议论文
OAI收割
Current Developments in Lens Design and Optical Engineering XIII, August 13, 2012 - August 15, 2012, San Diego, CA, United states
作者:
Zhang F.
;
Wang L.
;
Wang L.
;
Wang L.
;
He X.
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2013/03/25
Freeform surfaces provide more degrees of freedom for design of optical systems
and enhance the ability of compensation and correction aberrations. Freeform surfaces are of advantage to balance the unsymmetrical aberrations
especially for the wide-field off-axis optical systems. This paper focus on an off-axis reflective optical system
which focal length is 550mm
F# is 6.5 and field of view (FOV) is 76. The system adopts some freeform surfaces. We discuss the problems we noticed in processes of design
manufacture
measurement and alignment
and the solutions. At last
the periodical research result and the expected performance are given. 2012 SPIE.
The sensitivity and optimization of the model parameters for the simulation of latent heat flux
会议论文
OAI收割
2010 6th International Conference on Natural Computation, ICNC'10,, Yantai, Shandong, China, August 10, 2010 - August 12,2010
Su, Gaoli
;
Deng, Fangping
;
Liu, Qinhuo
;
Xin, Xiaozhou
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2014/12/07
Parameter estimation
Computer simulation
Forecasting
Geologic models
Heat flux
Latent heat
Markov processes
Optimization
Sensitivity analysis
Surface measurement
Vegetation
Water content
Accurate measurement of carrier-envelope phase drift for infrared femtosecond laser pulses
期刊论文
OAI收割
opt. express, 2008, 卷号: 16, 期号: 26, 页码: 21383, 21388
Song Liwei
;
Zhang Chunmei
;
Wang Jianliang
;
冷雨欣
;
李儒新
收藏
  |  
浏览/下载:803/79
  |  
提交时间:2009/09/18
Accurate measurements
Femtosecond pulses
Incident lasers
Incident pulses
Infrared femtosecond lasers
Interference fringes
Interference measurements
Measurement processes
Novel schemes
Phase drifts
Phase jitter
Second harmonics
Spectral interferences
BP neural network application on surface temperature measurement system based on colorimetry (EI CONFERENCE)
会议论文
OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
作者:
Sun Z.-Y.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
Measurement of the features of infrared radiation is very important for the precaution and discrimination of missiles
and relevant research is worthy in military application. The measurement of target's surface temperature is the foundation of infrared radiation characteristics measurement. The principle and configuration of target's surface temperature measurement system based on colorimetry is introduced
the measurement model is deduced and the processes of temperature measurement are presented. Least-square method and back-propagation neural network method are both used to deal with the demarcating data. Compared with the least-square method
Back-propagation neural network has more advantages
such as high precision
good applicability and so on.