In-flight spectral calibration of UAV hyperspectral imager based on Radiance Matching
基于辐亮度匹配的无人机载成像光谱仪外场光谱定标研究

This paper proposes an optimized method for in-flight spectral calibration of UAV (Unmaned Aerial Vehicle) hyperspectral imager covering visible and near infrared band. Taking simulated radiance as reference spectrum, the method uses spectrum matching technique to retrieve the most important spectral parameters center wavelength and bandwidth. With the data in Urad Front Banner, Inner Mongolia on November 14th, 2010, hyper-spectral camera on UAV was calibrated based on the laboratory spectral calibration result. The efficiency of data process was 100 times that of normal algorithm. A method of accuracy evaluation with ground targets was also developed. The in-flight spectral calibration accuracy for a sensor with bandwidth of 7nm was proved to be better than 0.5nm.