An Experimental Research on Fusion Algorithms of Remotely Sensed Image Title of the Paper goes here

46 Remote sensing image fusion can be use d to highlight the information, useful for integrating a high spectral resolution image with a high spatial resolution image, to eliminate or suppress irrelevant information, to improve the quality of image for target recognition, thereby increasing the reliability of interpretation and reduce ambiguity and improve the classification to expand its application and effectiveness. Four pixel-level fusion algorithms of remote sensing images, Brovey Transform, Principal Components Transform (PCA), Multiplication Transform (MLT), High-Pass Filer Transform (HPF), have been used to fuse multispectral image and panchromatic image. And the four fused images have been analyzed and evaluated qualitatively and quantitatively by the amount of spectral information and spatial information maintained in the fused images. Then, the methods are ranked according to the conclusions of the visual analysis and the results from quality budgets.