Remote Sensing Images Mosaicking Method Based on Spatiotemporal Fusion

Due to the limited width of high-resolution satellites, earth observation applications involving a large area usually require mosaics of multiple high-resolution images taken at different times or different sensors. The process of mosaicing images usually includes 5 basic steps: sorting, registration, color balance, seam line detection, and overlap area fusion. The existing color balance methods do not make full use of the existing satellite data, and most of the algorithms only pursue visual effects, not the fidelity of the data. For this reason, a new spatio temporal fusion mosaic framework is proposed. The framework introduces the spatio temporal fusion method based on the enhanced deep super-resolution network, and the images of all shooting moments are adjusted to the same time through a global reference image to ensure consistent color styles. The method in this paper carries out mosaic testing in the red, green, and blue bands of LandSat8 images. The experimental results show that the proposed method is more effective than the existing mosaic methods.