A unified framework for spatio-temporal-spectral fusion of remote sensing images

In this paper, a unified framework for the spatio-temporal-spectral fusion of remote sensing images is proposed. The relationships between the observed images and the desired image are first established based on general image observation models. Maximum a posteriori (MAP) theory is then employed to formulate the unified fusion framework. The proposed method is able to fuse images from an arbitrary number of optical sensors with different spatial, temporal, and spectral resolutions. The experimental results verify the effectiveness of the proposed method.