Classification-based fusion of IKONOS 1-m high-resolution panchromatic image and 4-m multi-spectral images

Presents a new classification-based fusion (CL-based fusion) scheme, which is used throughout this paper as a synonym of "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 of an IKONOS 1-m high-resolution panchromatic image and 4-m multi-spectral images, (2) classification of the high-resolution image together with the low-resolution images using supervised classification algorithm, (3) according to each class histogram of the high-resolution image, adjustment of the corresponding spectral values of single multi-spectral image, and (4) HIS transform of the adjusted multi-spectral images using cylindrical coordinates and acquirement of the fusion images. The proposed method can merge the class with a high-resolution image and multi-spectral images, accounting for the importance of prior knowledge, and try to add classification as prior knowledge to fusion. In this trial, a selected IKONOS image of Peking is used