Remote Sensing Image Fusion with a Multiresolution Directional-Oriented Image Transform Based on Gaussian Derivatives

A methodology for image fusion based on the Hermite transform is presented. First, we demonstrate fusion with multispectral images from the same satellite (Landsat 7 ETM+) with different spatial resolutions. In this case we show how the proposed method can help improve spatial resolution. In the second case we show fusion with different sensor images, namely SAR and multispectral Landsat 5 TM. The fusion algorithm is based on the directional oriented Hermite transform which is an image representation model based on Gaussian derivatives that mimics some of the more important properties of human vision. The local analysis properties of the Hermite transform help fusion and noise reduction adapt to the local orientation and content of the image.