Minimum removal and maximum normalization of VNIR hyperspectral image for shade and specular invariance

Abstract

A novel hyperspectral image normalization method was developed to make the hyperspectral profile invariant to illumination. The well-known band-ratio method shows unstable spectral profile to shades and highlights. The proposed minimum removal and maximum normalization method is simple but can reduce the spectral variations caused by shades and highlights effectively, which leads to enhanced abnormal region detection performance in VNIR hyperspectral images.