Paper
13 September 2002 Performance analysis of a portable imaging spectrometer using linear-variable optical filter
Xiao xuan Xu, Hai bo Lin, Zhong chen Wu, Guang Yu, Jian Zhu, Cun zhou Zhang, Guang yin Zhang
Author Affiliations +
Abstract
In the present work we have designed an small-size portable imaging spectrometer using linear variable interference filter, with CCD imaging head as picture sensor, and micromove stage to bring along interference filter which scan across every pixel of CCD array. The difference column pixel in the picture which we get at every step is monocolour partial image under different wavelength, with the step by step, these column monocolour pixels change the wavelength. And finally we reassembled these images and get the whole monocolour image with different wavelength. The interval of sweep step length decided by the required spectrum resolution and the required wavelength interval of different pictures. The experiment demonstrated the resolution of this spectrometer is about l6nm. But that major reason of the limiting resolution is the band pass of the linear variable interference filter. The spatial resolution ofthe instrument ultimately decided by CCD and imaging lens. This spectrometer has some characters such as compact structure, higher spatial resolution, higher spectrum resolution, higher scan rate and so on.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiao xuan Xu, Hai bo Lin, Zhong chen Wu, Guang Yu, Jian Zhu, Cun zhou Zhang, and Guang yin Zhang "Performance analysis of a portable imaging spectrometer using linear-variable optical filter", Proc. SPIE 4922, Color Science and Imaging Technologies, (13 September 2002); https://doi.org/10.1117/12.483140
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Spectroscopy

Interference filters

CCD image sensors

Image filtering

Image sensors

Spectral resolution

Spatial resolution

Back to Top