A guided filtering and HCT integrated pansharpening method for WorldView-2 satellite images

Pansharpening has been an important tool in remote sensing field, which is a process of providing multispectral images with higher spatial resolution. When dealing with WorldView-2 satellite imagery having more bands and higher resolution, most existing methods are not effective. In this paper, we propose a novel and effective pansharpening methods combing guided filtering and hyperspherical color transformation (HCT) for WorldView-2 images. We use panchromatic image as the guidance to further refine the intensity of multispectral data and also to extract the sufficient details from the panchromatic image itself. Moreover, the guided filtering and HCT integrated scheme can inject the extracted details into the multispectral data and the multispectral images can be sharpened all at once with an arbitrary order. The experimental results show that our proposed method can obtain high-quality pansharpened results and outperforms some existing methods.</p

A guided filtering and HCT integrated pansharpening method for WorldView-2 satellite images

Pansharpening has been an important tool in remote sensing field, which is a process of providing multispectral images with higher spatial resolution. When dealing with WorldView-2 satellite imagery having more bands and higher resolution, most existing methods are not effective. In this paper, we propose a novel and effective pansharpening methods combing guided filtering and hyperspherical color transformation (HCT) for WorldView-2 images. We use panchromatic image as the guidance to further refine the intensity of multispectral data and also to extract the sufficient details from the panchromatic image itself. Moreover, the guided filtering and HCT integrated scheme can inject the extracted details into the multispectral data and the multispectral images can be sharpened all at once with an arbitrary order. The experimental results show that our proposed method can obtain high-quality pansharpened results and outperforms some existing methods