A Preliminary Exploration of Spectral Response Function Retrieval Method Based on Linear Programming
The spectral response function is the manifestation of the reflection and transmission characteristics of various optical components in satellite remote sensing sensors. Due to the inaccuracy of the spectral response function obtained through spectral calibration in ground laboratories prior to satellite launch,and the potential degradation of the spectral response function during operation in space in unknown ways,both phenomena can significantly impact the accuracy of satellite radiometric calibration. In this paper,a spectral response function retrieval method based on linear programming is proposed for the visible light band. This method has good global convergence and does not depend on the initial value of the spectral response function. The simulation of atmospheric hyperspectral reflectance data at the top of atmosphere and corresponding satellite reflectance data can be used to retrieve the true spectral response function. This retrieval process demonstrates effective qualitative and quantitative performance,and the retrieved spectral response function meets the requirements for practical applications.