Paper
7 November 2018 Snapshot diffractive computational imaging spectroscopy
Yun Su, Yanli Liu, Haibo Zhao, Jianchao Jiao, Quansen Sun, Jianxin Li
Author Affiliations +
Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 108321V (2018) https://doi.org/10.1117/12.2512033
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China
Abstract
With the increase in the lens aperture and widen in the spectrum, the dispersion range of diffractive optic image spectrometer (DOIS) is also growing. Large scale axial scanning increases the difficulty of system design and manufacturing of the GEO spectrometer. In this Letter, an efficient method and system for hyperspectral imaging of GEO orbit is realized by fusing diffractive optic and light field imaging technology. The emergence of the light field imaging technology provides a perfect solution for DOIS. Our system is a snapshot spectrometer that projects the spectral and spatial information simultaneously onto a CCD detector. Here a spectrometer system that operates in the 500-650nm band is designed and the performance of the system is analyzed and evaluated. Experiments are shown to illustrate the performance improvement attained by the new model. Our analysis shows that the novel snapshot hyperspectral diffractive computational image spectrometer is no-slit, high throughout, feasible and usable imager that can be widely built for many fields.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yun Su, Yanli Liu, Haibo Zhao, Jianchao Jiao, Quansen Sun, and Jianxin Li "Snapshot diffractive computational imaging spectroscopy", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108321V (7 November 2018); https://doi.org/10.1117/12.2512033
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KEYWORDS
Spectroscopy

Imaging systems

Sensors

Imaging spectroscopy

Cameras

Diffractive optical elements

Imaging technologies

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