Different fusion methods of multispectral and panchromatic images using PCA and wavelet

Methods for fusing multi-spectral low-resolution remotely sensed images with a more highly resolved panchromatic image are described. The goal is to obtain a high-resolution multi-spectral image which combines the spectral characteristic of the low-resolution data with the spatial resolution of the miss- ions computer-aided panchromatic image. Unlike other applications, e.g. image fusion in military or quality control, the main constraint in remote sensing is to preserve the spectral information for tasks like classification of ground cover and to more good use of the sport remote sensor image data to apply to monitor land resources changes, updated annually nationwide use maps; Measurement of the area of arable land, estimated forest accumulation, crop growth and yield and grazing are storage capacity and annual changes and so on, and to make the image data more correct and including more information.