Wavelength calibration is a crucial step in the practical application of the spectrometer. The relationship between wavelength and pixel position on the detector can be determined through characteristic spectral calibration. To apply the spectrometer to multi-channel spectral detection and other applications, we propose a method of multi-regions characteristic spectral calibration on a self-developed spectrometer by introducing a multi-core optical fiber. Experiments are carried out on the self-developed spectrometer with a spectral band of 537 nm ~ 600 nm and a resolution of 0.07 nm. The wavelength and pixel position are accurately matched through third-order polynomial fitting, with a fitting error of ±0.002 nm, improving the precision of the spectrometer in multi-channel measurement applications. At the same time, the spectral nonlinearity of the fitted polynomial is analyzed, and the results show that the spectral nonlinearity is about ±0.6 nm. Additionally, characteristic peaks of each region are fitted to calculate the resolution of the spectrometer. The results indicate that the spectrometer has a resolution of approximately 0.07 nm.
Multi-modal sensors can provide more useful and detailed information. Visible images contain a large amount of detail and texture information. Short-wave infrared imaging has a strong penetrating ability and performs well in complex environments. Polarization detection can obtain polarization information which conventional imaging techniques cannot obtain. In this paper, we construct a dual-band polarization imaging sensor that can be used for visible light, short-wave infrared, and polarization imaging. An image registration algorithm is applied to obtain multi-modal images of the same scene. Multiple image fusion methods such as Laplacian pyramid transform (LPT), Intensity-Hue-Saturation (IHS) transform, principal component analysis (PCA), and pulse-coupled neural network (PCNN) are compared and analyzed with a qualitative assessment of subjective and objective metrics. Based on the experiments, the advantages and disadvantages of different fusion methods are discussed.
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