This paper presents a new classification-based fusion scheme

which is used throughout this paper as a synonym of the "pixel-level fusion". It can be applied to merge low-resolution images and co-registered high-resolution images. The key of this trial is as follows: (1) Geometrical co-registration IKONOS 1-m panchromatic image and 4-m multi-spectral image; (2) Classification of the High-resolution Panchromatic image together with the low-resolution images using supervised or unsupervised algorithms; (3) According to each class histogram of High-resolution image

adjustment of the corresponding spectral values of single multi-spectral image; (4) HIS transformation of the adjusted multi-spectral image using cylindrical coordinates

and acquirement of the fusion images. From this algorithm

we can conclude as follows: (1) The proposed method can merge the class information

spatial information of high resolution image and spectral information of Low-resolution image

accounting for the importance of classification as prior knowledge ; (2) Based on precise classification

it can effectively eliminate the false color at the edge of objective and have better visual effects; (3) It can try to add classification and spatial relationship to image fusion. In this trial the selected Peking image of IKONOS will be used

which can bring us convenience when verifying our algorithm.