Influence of sensor spectral parameters on the simulation of hypespectral data based on the spectral reconstruction approach

Abstract

Data simulation has been widely used in various applications of remote sensing, especially in design of new type sensors, test of new developed algorithms and other associated applications. However, change of parameters of sensor and its system can affect the accuracy of data simulations. Based on spectral reconstruction, the present study employs convolution of spectral response function (SRF) of four bands-blue, green, red, and infrared red within the wide field of view multispectral imager to analyze the impact central wavelength and bandwidth have on the accuracy of spectral reconstruction. The results show that root mean square error (RMSE) caused by central wavelength displacement is less than 0.025, while RMSE caused by bandwidth shift is less than 0.012, indicating the good accuracy of data simulations. Apparently, central wavelength and bandwidth have impact on accuracy of spectral reconstruction to some extent. Therefore, hyperspectral reconstruction depending on central wavelength and bandwidth is conducive for users to further understand hyperspectral imaging system, to find the main factor(s) influencing system performance, to better simulate hyperspectral data and to broaden the application range of remotely sensed data.