Multiband Remote Sensing Image Pansharpening Based on Dual-Injection Model

Abstract

Pansharpening exploits the high-frequency component (HFC) of panchromatic (PAN) images to restore the spatial-resolution of the corresponding multispectral (MS) image. In this article, a dual-injection model-based multiband remote sensing image pansharpening method is presented that focuses on how to correctly use the HFC to improve the MS image for obtaining a high-spatial resolution and MS image. The model is based on a two-step HFC injection algorithm with two different injection gains. In the first step, an HFC is reconstructed with sparse theory, and an injection gain based on the relationship between PAN and MS images is developed. Employing the previous injection gain and the reconstructed HFC on an upsampling MS image, an improved LRMS (ILRMS) image is then produced. In the second step, another injection gain based on the differences and similarities between the PAN and MS images is designed. With the help of this injection gain, the fusion image is achieved via the adaptive integration of the ILRMS image and the HFC from the PAN image. Experiments confirm that the proposed method is more effective than some popular widely used pansharpening methods.

Keywords

• Dual-injection model
• injection gains
• pansharpening
• sparse representation (SR)