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CAS IR Grid
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长春光学精密机械与物... [3]
合肥物质科学研究院 [2]
国家空间科学中心 [1]
武汉岩土力学研究所 [1]
西安光学精密机械研究... [1]
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OAI收割 [8]
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会议论文 [5]
期刊论文 [3]
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2023 [1]
2022 [1]
2013 [1]
2011 [1]
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空间振幅调制偏振光谱仪调制模块角度参数优化
期刊论文
OAI收割
激光与光电子学进展, 2023, 卷号: 60
作者:
冀海月
;
李双
;
向光峰
;
韩琳
;
许智龙
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/11/20
measurement
polarization
spatial modulation
combo wedge
condition number
测量
偏振
空间调制
复合光楔
条件数
Metal-based additive manufacturing condition monitoring methods: From measurement to control
期刊论文
OAI收割
ISA TRANSACTIONS, 2022, 卷号: 120
作者:
Lin, Xin
;
Zhu, Kunpeng
;
Fuh, Jerry Ying Hsi
;
Duan, Xianyin
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/05/16
Metal-based additive manufacturing
Condition monitoring
Measurement and control
Machine learning
A Robust Self-Alignment Method for Ship's Strapdown INS Under Mooring Conditions
期刊论文
OAI收割
SENSORS, 2013, 卷号: 13, 期号: 7, 页码: 8103-8139
作者:
Sun, Feng
;
Lan, Haiyu
;
Yu, Chunyang
;
El-Sheimy, Naser
;
Zhou, Guangtao
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2015/10/29
inertial navigation systems (INS)
alignment
mooring condition
inertial measurement unit (IMU)
inertial frame
hidden Markov model
Kalman filter
Accurate measuring temperature with infrared thermal imager in the unstable condition of ambient temperature
会议论文
OAI收割
2011 international conference on optical instruments and technology: optoelectronic measurement technology and systems, beijing, china, november 6, 2011 - november 9, 2011
WangJing
;
QuEn-Shi
;
CaoJian-Zhong
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2012/07/09
infrared thermal imaging system
temperature measurement
blackbody
unstable condition
Modulation transfer function measurement of sampled imaging systems in field test (EI CONFERENCE)
会议论文
OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China
作者:
Yang L.
;
Zhang J.
;
Zhang J.
;
Zhang J.
;
Wang J.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
A digital mirror device (DMD) based light projector was developed as the target generator in modulation transfer function (MTF) measurement. In order to overcome the sampling-scene phase effect in MTF measurement of sampled imaging systems
a method using random targets is introduced to yield a phase-averaged MTF. The main potential problem of implementing this method is the fact that the stationary assumption of the random targets may be vitiated in practical measurement
especially in field test due to the ill condition. We provide an efficient model-independent way of analyzing and isolating the spectral contents arising from these additional contributions to MTF measurement. Algorithms with adaptive parameter selection were also developed for spectral estimation of the test image in order to overcome the challenge brought by the size limit of the test matrices for one certain field of view derived from the isoplantic region. The MTF measurement of a CCD video imager is used to demonstrate the measurement technique and illustrate the benefits over other methods. In order to validate the results
comparisons have been made between MTF measurements of imager implemented using this method and bar target direct measurements. 2010 Copyright SPIE - The International Society for Optical Engineering.
On Determination Of Geometric Damage Tensor
会议论文
OAI收割
Zhuhai, PEOPLES R CHINA, DEC 26-28, 2009
作者:
Liu, Bin
;
Liu, Quan-sheng
;
Wu, Yue-xiu
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/06/05
fractured rock mass
geometric damage tensor
measurement condition
probability
damage evolution equation
UV-VUV spectral irradiance responsivity calibration for space remote sensing spectroradiometer (EI CONFERENCE)
会议论文
OAI收割
Advanced Materials and Devices for Sensing and Imaging III, November 12, 2007 - November 14, 2007, Beijing, China
作者:
Yu H.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
In order to overcome the irradiance responsivity calibration troubles caused by the weak response of most spectral radiometers in ultraviolet band and poor ratio of signal to noise
and to meet special calibration condition for some remote sensing spectroradiometers in space
a spectral irradiance responsivity calibration unit based on parallel light illumination mode is established
it is composed of a 150W deuterium lamp and a spherical mirror. The calibration unit gets the output standard value of spectral irradiance by irradiance transfer
this way avoids the spectral reflectance measurement difficulty of the spherical mirror. A flight spectral radiometer model used for space remote sense was calibrated in range from 160nm to 300nm
the calibration error of spectral irradiance responsivity is 4.7%. Some factors which contribute to calibration uncertainties are discussed.
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE)
会议论文
OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.
;
Ma D.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task
for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type
the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP
but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly
we use frame grabber to capture the 4-bar target image data. Then according to image gray scale
we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets
along with known target visibility
are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm
demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.