An effective pansharpening method for WorldView-2 satellite images

Abstract

Pansharpening has been an important tool in remote sensing applications, which transforms a set of low-spatial-resolution multispectral images to high-spatial-resolution images by fusing a co-registered fine-spatial-resolution panchromatic image. The new style very high-resolution WorldView-2 satellite images have posed challenges to the image fusion techniques. An effective pansharpening method based on correspondence analysis is presented in this paper. The experimental results show that the presented method can effectively obtain a better trade-off between the spectral fidelity and the spatial resolution enhancement compared to some existing methods.