| 光谱学与光谱分析 |
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| Testing Method Research for Key Performance Indicator of Imaging Acousto-Optic Tunable Filter (AOTF) |
| HU Shan-zhou1, CHEN Fen-fei2, ZENG Li-bo2, WU Qiong-shui2* |
1. School of Science, Wuhan University of Technology, Wuhan 430070, China
2. School of Electronic Information, Wuhan University, Wuhan 430072, China |
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Abstract Imaging AOTF is an important optical filter component for new spectral imaging instruments developed in recent years. The principle of imaging AOTF component was demonstrated, and a set of testing methods for some key performances were studied, such as diffraction efficiency, wavelength shift with temperature, homogeneity in space for diffraction efficiency, imaging shift, etc.
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Received: 2012-07-03
Accepted: 2012-10-05
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Corresponding Authors:
WU Qiong-shui
E-mail: qswu@whu.edu.cn
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[1] van der Meer Freek D, van der Werff Harald M A, van Ruitenbeek Frank J A. International Journal of Applied Earth Observation and Geoinformation, 2012, 14(1): 112.
[2] Rodriguez J M, Ustin S L, Riano D. Hydrological Processes, 2011, 25(26): 4069.
[3] Gat N. Proc. SPIE, 2000，4056: 50.
[4] SUN Zhen-dong, WAN Feng, ZHAO Yu-chun, et al(孙振东, 万 峰, 赵玉春，等). Analytical Instrumentation(分析仪器), 2000，(4): 43.
[5] Yang Y, Sha X J， Zhang Z h. Chinese Optics Letters, 2011, 9(8): 24. |
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