Research on imaging spectrometer for contamination monitoring of waters and plants in rivers

Yian Zhang

doi:10.1117/12.2548984

12 March 2020 Research on imaging spectrometer for contamination monitoring of waters and plants in rivers

Yian Zhang

Proceedings Volume 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 114380R (2020) https://doi.org/10.1117/12.2548984
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

In this paper, we introduce the working principle of dispersion imaging spectrometer, describe the system composition of imaging spectrometer. Through analysis and comparison, we select the Cerny-Turner for the optical path structure of spectrometer. Then, we simulate and optimize the initial structure of the optical system of imaging spectrometer by using optical design software. At the same time, we use the cylinder reflector with low cost and easy processing and detection to correct astigmatism. Finally, we designe an optical system of vis-shorter-wave infrared imaging spectrometer with a spectral range of 400~1000nm. The contrast of full-band and full-field MTF of imaging spectrometer at 25lp is better than 0.3. After these, we design the mechanical structure of the optical system of the optimized imaging spectrometer by using the mechanical structure design software. Then, we use 3D printer to print various structural parts to develope a high resolution imaging spectrometer. Finally, we carried out an experiment by the kunyu river in haidian district, Beijing, which proved that the imaging spectrum technology can be used in the monitoring and research of water pollution and vegetation in rivers and wetlands.

Citation Download Citation

Yian Zhang "Research on imaging spectrometer for contamination monitoring of waters and plants in rivers", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380R (12 March 2020); https://doi.org/10.1117/12.2548984

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