Satellite image fusion by using a combination of IHS and HPM methods

Abstract

There are numerous image fusion techniques such as intensity-hue-saturation (IHS) transform and principal component analysis (PCA). These methods are offering promising performance but the drawback with them is that they are not necessarily optimal in newer applications such as Ikonos and QuickBird. Color distortion is of vital importance in fusion image processing. The main result of this paper is the development of a fast HPM-enhanced version of the IHS method for application in fusion image processing in high-resolution satellite images. Combining these two methods makes it possible to benefit from the advantages of both methods. To evaluate the HPM-enhanced version of IHS method we used QuickBird data. The HPM-enhanced version of IHS and HPM-enhanced IHS are used interchangeably. The simulation results of this method show that it is capable of providing a significant improvement in preserving spectral and spatial information.