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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [5]
遥感与数字地球研究所 [1]
光电技术研究所 [1]
自动化研究所 [1]
合肥物质科学研究院 [1]
采集方式
OAI收割 [9]
内容类型
期刊论文 [7]
会议论文 [2]
发表日期
2024 [1]
2019 [2]
2018 [1]
2016 [1]
2015 [1]
2014 [1]
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Imaging Chain Modeling and a Scaling Experiment for Optical Remote Sensing of Lunar Surface
期刊论文
OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73
作者:
Li, Menghao
;
Li, Ruikang
;
Bao, Shiwei
;
Xu, Zhihai
;
Li, Qi
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/11/20
Imaging chain modeling
optical instrument calibration
remote-sensing camera
scaling physical experiment
Alignment error detection method of sub-eye mounting hole for bionic compound eye system
期刊论文
OAI收割
Chinese Optics, 2019, 卷号: 12, 期号: 4, 页码: 880-887
作者:
G.Zhang
;
X.-H.Wang
;
D.-Y.Li
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2020/08/24
Errors,Bionics,Image resolution,Imaging systems,Mountings,Optical design,Optical instrument lenses
Optimum design of braced structure for optical fiber image transmission module based on inert strength
期刊论文
OAI收割
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2019, 卷号: 48, 期号: 5
作者:
F.Yang
;
H.Tian
;
C.Yan
;
C.Wu
;
D.Mu
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/08/24
Light transmission,Ground supports,Imaging systems,Natural frequencies,Optical fibers,Optical glass,Optical instrument lenses,Shape optimization,Structural design,Structural optimization,Topology
Truncated two-stage compound parabolic concentrator for collecting human diffuse transmission light
期刊论文
OAI收割
Optica Applicata, 2018, 卷号: 48, 期号: 2, 页码: 325-335
作者:
Gao, J.
;
Han, G.
;
Lu, Q. P.
;
Ding, H. Q.
;
Xu, J. H.
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/09/17
optical design
compound parabolic concentrator (CPC)
non-imaging
optics
near infrared spectroscopy
medicine optical instrument
glucose
Optics
Design of tracking and detecting lens system by diffractive optical method
期刊论文
OAI收割
Proceedings of SPIE: Advanced Optical Design and Manufacturing Technology and Astronomical Telescopes and Instrumentation, 2016, 卷号: 10154, 页码: 101541H
作者:
Yang, Jiang
;
Qi, Bo
;
Ren, Ge
;
Zhou, Jianwei
  |  
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2018/06/14
Diffractive Optics
Feature Extraction
Image Resolution
Imaging Systems
Lenses
Manufacture
Optical Design
Optical Instrument Lenses
Optical Systems
Radio Telescopes
Target Tracking
Telescopes
An improved histogram matching algorithm for the removal of striping noise in optical remote sensing imagery
期刊论文
OAI收割
OPTIK, 2015, 卷号: 126, 期号: 23, 页码: 15536-15560
作者:
Cao, Biao
;
Du, Yongming
;
Xu, Daqi
;
Li, Hua
;
Liu, Qinhuo
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2016/04/20
Striping noise
Destriping
Optical imaging instrument
Detector response function
Improved histogram matching
Recent advances in bioluminescence tomography: methodology and system as well as application
期刊论文
OAI收割
LASER & PHOTONICS REVIEWS, 2014, 卷号: 8, 期号: 1, 页码: 94-114
作者:
Qin, Chenghu
;
Feng, Jinchao
;
Zhu, Shouping
;
Ma, Xibo
;
Zhong, Jianghong
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2015/08/12
Bioluminescence tomography
biophotonics
optical molecular imaging
inverse source reconstruction
optical imaging instrument
multimodality fusion
Imaging system effects on the measuring accuracy of the optical surface in interferometer (EI CONFERENCE)
会议论文
OAI收割
3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011, January 6, 2011 - January 7, 2011, Shanghai, China
Yang W.
;
Liu M.
;
Xu W.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
In order to measure high accuracy or mid spatial frequency optical surfaces
this study investigated imaging system in Fizeau interferometer. Interferometer is a transferring phase information system. General transfer function can't evaluate the ability of imaging system in interferometer that transfers the phase information of the optical surface. So this paper deduced instrument transfer function (ITF) and used ITF to evaluate the phase information transfer ability of interferometer. We obtained some results about ITF of imaging system by numerical simulation when there are different aberrations in imaging system or measuring optical surfaces were different. Our results indicate that ITF can evaluate the ability of transferring phase information in interferometer and the distortion of imaging system evidently affects the accuracy of interferometric measurements. 2010 IEEE.
Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE)
会议论文
OAI收割
2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China
Li X.
;
Yan C.
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2013/03/25
Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI
then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement
which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels
radiometric and spectral calibration were presented. After processing
the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper
the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets
the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft
thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE.
including decoding to extract science data
separating the science data into files corresponding to different tasks (e.g. ground imaging
dark imaging
and onboard calibration)
checking data integrity and instrument settings
data format conversion
and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly
it corrects the image artifacts (mostly the SWIR smear effect)
subtracts the dark background
and performs the bad pixel replacement according to the prelaunch measurement