Hyperspherical color transform based pansharpening method for WorldView-2 satellite images

Pansharpening is an important tool in remote sensing applications, as earth observation satellites provide both high-resolution panchromatic and low-resolution multispectral images. Many pansharpening techniques have been developed so far. However, most available methods are not effective for the latest very high resolution WorldView-2 satellite imagery. In this paper, we present a novel pansharpening method based on hyperspherical color transform. It combines the advantages of component substitution-based and multiresolution analysis-based pansharpening. The experimental evaluations are carried out on WorldView-2 data. Visual and quantitative analyses show that our presented method can achieve high spectral and spatial quality and outperforms some existing methods.