Research On Spectral Resolution Capability Enhancement Technology Based On LCTF Imaging Spectrometer

In recent years,imaging spectroscopy has developed rapidly.With both imaging and spectral detection function,the Imaging spectrometer has an irreplaceable role in the spectral image data acquisition area,becomes an important means of data acquisition in the fields of remote sensing,biomedical,agriculture,food detection and physical evidence extraction.The imaging spectrometer with LCTF as the core has become a hotspot in recent years because of its small size,light weight,fast tuning speed and other advantages.Due to the LCTF spectral transmittance characteristics,the spectral resolution of the LCTF imaging spectrometer needs to be improved.It is very important to enhance the spectral resolution of LCTF imaging spectrometer,which is very important for expanding the application range of LCTF imaging spectrometer.In this context,with reference to the traditional deconvolution method and the spectral resolution enhancement method of Fourier transform spectrometer,based on the spectral transmittance function of LCTF,a mathematical model of LCTF imaging spectroscopy was established.Based on the optimization method,a method of priori constraint regularization is proposed to improve the spectral resolution of LCTF imaging spectrometer.Then the numerical simulation and experimental test are designed,which proves that this method has a significant effect on solving the problem of obtaining the input spectrum of the incident light and can improve the spectral resolution of the LCTF imaging spectrometer.While completing verification of the method,an operating software of LCTF imaging spectrometer is designed and prepared.The spectral resolution enhancement method is implemented on the computer platform and is suitable for a portable LCTF imaging spectrometer.