Seamless Mosaicking of Multi-strip Airborne Hyperspectral Images Based on Hapke Model

摘要

In this study, we present a semiempirical method based on the Hapke model to remove the varying brightness gradient of airborne hyperspectral images, which severely affect the radiometric consistencies for subsequent analysis. The multi-strip and MNF-transformed HyMap images were chosen to assess the model. The experimental results show that the method given in this paper can efficiently remove the illumination gradient in both single image and between multi-scene images. In comparison with the statistical method, the new method preserves the true spectral information of the data to a large extent and can be used in both qualitative and quantitative analyses, which can considerably benefit the subsequent applications.