Correction for remaining effects in push-broom hyperspectral radiance data

Systematic errors remaining in Hyperspectral radiance data degrade the data quality and the ability in subsequent application, thereby resulting in inconvenience for users. In order to remove errors, a correction chain is established. Remaining effects related to nonideal characteristics such as abnormal pixels and image nonuniformity, stripes, smile and keystone properties are investigated. First, based on image chain approach of push-broom Hyperspectral sensors, the backgrounds and causes of remaining effects are presented. Then after the influence of each remaining effect and the correction algorithm on Hyperspectral data is analyzed and the relation between the individual processing is confirmed in proper sequence. Finally, the correction chain has been applied to the airborne Push-broom Hyperspectral Imager (PHI) data. Experimental results indicate that the visual effects are enhanced and the SNR is increased with 91.9% maximum, and the sharp peaks of reflectance spectral profiles are eliminated. The correction chain can correct the remaining effects and improve the quality of Hyperspectral data, as well as the performance of image subsequent application.