中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Design of MWIR hyperspectral imagers based on acousto-optic tunable filters 期刊论文  OAI收割
Optik, 2023, 卷号: 276
作者:  
Li, Xijie;  Gao, Ming;  Liu, Jun;  Li, Yong;  Feng, Yutao
  |  收藏  |  浏览/下载:28/0  |  提交时间:2023/02/28
Amaryllidaceae Alkaloids from Lycoris radiata 期刊论文  OAI收割
HELVETICA CHIMICA ACTA, 2011, 卷号: 94, 期号: 1, 页码: 178-183
作者:  
Feng, Tao;  Wang, Yuan-Yuan;  Su, Jia;  Li, Yan;  Cai, Xiang-Hai
收藏  |  浏览/下载:22/0  |  提交时间:2012/04/10
Narcissus analysis for cooled staring IR system (EI CONFERENCE) 会议论文  OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies, AOMATT 2007: Advanced Optical Manufacturing Technologies, July 8, 2007 - July 12, 2007, Chengdu, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
Narcissus can have a deleterious effect on image quality for cooled infrared imaging systems. Therefore  analysis of narcissus is important for designing both scanning and staring optics. Narcissus is generally assumed to be negligible in staring IR optical designs because the shading effects can be removed by calibration of the detector array data. However  the calibration usually decreases sensitiveness of the system and Narcissus variation may be noticeable for sensors when the conditions changes as follows: 1. warming and cooling the optical housing  2. zooming optical elements  3. movement of lenses for focus. In that case  it will result in shading and other image defects even after calibration. To minimize these effects  narcissus should be assessed and controlled during the design of staring array IR system. We provided a direct and fast method for analyzing the narcissus variation in the presence of software such as LightTools  TracePro and ASAP  and proposed the principles in optical design of staring IR systems to reduce narcissus. A cooled staring IR system with serious narcissus was estimated and reoptimized. Narcissus analysis of this IR system confirmed the efficiency of the analysis method.