Remote Sensing Image Fusion Based on Adaptive IHS and Multiscale Guided Filter

Abstract

The purpose of remote sensing image fusion is to sharpen a low spatial resolution multispectral (MS) image by injecting the detail map extracted from a panchromatic (PAN) image. In this paper, a novel remote sensing image fusion method based on adaptive intensity-hue-saturation (IHS) and multiscale guided filter is presented. In the proposed method, the intensity component is obtained adaptively from the upsampled MS image at first. Different from traditional IHS-based methods, we subsequently propose a multiscale guided filter strategy to filter the PAN image to achieve more detail information. Finally, the total detail map is injected into each band of the upsampled MS image to obtain the fused image by a model-based algorithm, in which an improved injection gains approach is proposed to control the quantity of the injected detail information. Experimental results demonstrated that the proposed method can provide more spatial information and preserve more spectral information compared with several state-of-the-art fusion methods in both subjective and objective evaluations.