Research on the Etalon Effect in Dispersive Hyperspectral VNIR Imagers Using Back-Illuminated CCDs
Autor: | Kai-Qin Cao, Binlin Hu, Shi-Jing Hao, Jing Zhang, Yinnian Liu, De-Xin Sun |
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Rok vydání: | 2018 |
Předmět: |
010302 applied physics
Physics business.industry Astrophysics::Instrumentation and Methods for Astrophysics Hyperspectral imaging Grating 01 natural sciences VNIR 010309 optics Optics Interference (communication) 0103 physical sciences Astronomical interferometer General Earth and Planetary Sciences Electrical and Electronic Engineering Photonics business Image resolution Fabry–Pérot interferometer |
Zdroj: | IEEE Transactions on Geoscience and Remote Sensing. 56:5481-5494 |
ISSN: | 1558-0644 0196-2892 |
DOI: | 10.1109/tgrs.2018.2818258 |
Popis: | Dispersive hyperspectral visible and near-infrared (VNIR) imagers using back-illuminated (BI) charge-coupled devices (CCDs) suffer from interference fringes in the near-infrared band, known as the etalon effect. This effect causes a signal modulation which can become increasingly serious (±25% or more) when the spectral resolution gets higher than 5 nm, bringing huge difficulties for subsequent processing and quantitative applications of the hyperspectral data. A mathematical model to describe the fringe pattern is established by taking both the system parameters and the interference principle of multilayer thin films into account. Then, the model is used to simulate the distribution of interference fringes as a function of wavelength, and the simulated results are verified with the measured data from a VNIR grating-based hyperspectral imager. It turns out that the model is able to describe the interference fringes accurately. In addition, quantitative analysis of the influence of related factors on interference fringes is carried out, and a single-layer model is introduced for comparison, providing the theoretical foundation for the subsequent correction of interference fringes. This paper provides an important reference for the design and application of dispersive hyperspectral VNIR imagers using BI-CCDs. |
Databáze: | OpenAIRE |
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