Multi-Sensor Image Fusion Based on Transferable Parameters

Multi-sensor image fusion can overcome the limitation of single data source, enhance auto-interpretation capability and improve image quality and usability. In this paper a fusion method based on transferable parameters is presented. The parameters transferability is based on spatial dependence and structural similarity between higher and lower resolution images. The key techniques include fusion model establishment and optimal parameter searching. In order to validate the effectiveness of the proposed method, experiments have been conducted on Landsat TM and SPOT PAN images. The experimental results show that the presented method performs better than some conventional fusion methods both in spatial resolution enhancement and in spectral information preservation.