光谱参数对基于光谱重构的高光谱数据模拟的影响

遥感数据模拟已广泛应用于遥感研究中, 遥感模拟对于新型传感器的设计，新算法的检测等都有积极的意义。然而传感器系统参数的变化会影响数据模拟的精度。实验采用卷积宽视场多光谱成像仪蓝、绿、红和近红外四个波段的光谱响应函数，基于光谱重构的方法对多光谱数据进行了高光谱的数据模拟。研究分析了多光谱数据中心波长和带宽的变化对高光谱重构精度的影响。结果表明，中心波长和带宽的变化对于光谱重构精度有一定的影响，但总体来说模拟结果有很好的精度。中心波长的变化所引起的RMSE小于0.025，带宽变化引起的RMSE小于0.012。因而基于中心波长和带宽变化的高光谱数据重构有助于用户更好的了解高光谱成像系统，找到系统性能的主要影响者，以便更好的模拟高光谱数据，扩展遥感数据的应用范围。

Influence of Sensor Spectral Parameters on the Simulation of Hypespectral Data Based on the Spectral Reconstruction Approach

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.