An algorithm for Wavelength Calibration in Hyperspectral Imaging Camera

摘要

The wavelength of the spectral bands of a pixel from a hyperspectral imaging camera is not automatically known. A simple linear regression model can be fitted to the known abscissa and the corresponding known wavelength to acquire a calibration equation to determine the wavelength for any given abscissa. In our experiment the pixels show significant trend and serial correlation mainly in one of the spatial domain. An algorithm to remove the trend and serial correlation from the pixels using local linear regression model will be presented. Numerical results will be presented to show the improvement in the accuracy of the calibration equation computed using the corrected pixels.