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

The needs of high-precision earth observation have led to the development of high-resolution and high-dimensionality RS data and greatly promoted the standard for processing and application of airborne hyperspectral images. The varying brightness gradients of the airborne images cause problems in generating “seamless” mosaic for hyperspectral surveys, which severely affect the radiometric consistencies for subsequent analyses. We present a semiempirical method to generate seamless mosaicking of multi-strip airborne hyperspectral images and introduce the model principle as well as the calculation process in detail. The experimental results based on HyMap images in Lop Nor area show that this method can efficiently remove the illumination gradient in both single image and between multi-scene images. Moreover, the MNF-transformed images and spectrum from overlap were chosen to assess the model; the results show that the Hapke-based model can be used to improve the airborne hyperspectral mosaicking effect and have great potential to subsequent quantitative applications.