부산대학교 도서관

This paper presents the impact of a multi-exposure method for a hyperspectral imaging camera in the visual-near infrared range. Multi-exposure helps deal with the dynamic range requirements coming from uneven scene illumination, imbalanced light source energy distribution per band and diverse object reflectivity levels. We show the benefits of applying multi-exposure for different light sources (halogen and LED) and varied scene types at the application side. Our results show that improved SNR and decreased spectral variability are achieved. This results in increased discrimination capacity at application level, with increases of up to 10% in the mean classification accuracy.