Improving Spectral Resolution Of Imaging Spectrometer Based On Modified Ridge Estimation Method

With the advantage of acquiring two-dimensional images across a wide range of spectrum,the imaging spectrometer plays an increasingly important role in various applications,such as astronomy,remote sensing,biomedical imaging,and resource exploration and so on.With the rapid development of materials technology,detector technology and computer technology,imaging spectrometers have made unprecedented progress.However,limited by the two-dimensional array arrangement of the detector units,the trade-off between the spatial and spectral information including spectral resolution and spectral range,besides the trade-off between spectral cube precision and acquisition time is difficult to solve for the imaging spectrometer.As a spectral scanning imaging spectrometer,LCTF imaging spectrometer is favored for its simple structure,stability and high precision.However,the LCTF imaging spectrometer still encounters the bottleneck that the spectral resolution is difficult to improve further due to the LCTF sampling bandwidth and spectral splitting principle.Inversion algorithm is an effective tool to improve the accuracy of spectral cubes,but considering both spectral and spatial multiplexing brings huge computational complexity and limits the acquisition of high-precision data.In fact,the development of detector technology and the compensation of hardware platforms make spatial pixel crosstalk not serious.It is realistic and meaningful to involve only spectral multiplexing.The modified ridge estimation method based on prior condition can effectively solve the ill-posed inversion model and obtain high-precision and reliable sample-recovery reconstruction data.In this paper,the LCTF imaging spectrometer platform is used to establish the spectral cube reconstruction model by using the modified ridge estimation method to improve the spectral resolution.Then,a series of simulations and experiments are designed to verify that the modified ridge estimation reconstruction model can successfully improve the spectral resolution of the LCTF imaging spectrometer,which can be improved by more than 40% under extreme conditions.In addition,these experiments demonstrate the application prospects and potential of LCTF imaging spectrometer in the field of target detection and recognition.