Different types of satellite remote sensing data have certain advantages, and the use of a single data will affect its use effect. Therefore, multi-source data fusion plays an important role in remote sensing information extraction, especially after the fusion of high-resolution images and multi-band data, the amount of information and clarity obtained have been significantly improved. Specific fusion methods are proposed to use ISH transform, principal component fusion method, Mensell transform, artificial neural network (ANN) and so on. The application of fusion processing technology mainly solves the problem that key areas and key cities need high resolution and various information extraction. Mosaic processing is mainly used to complete the digital mosaic of remote sensing images in the whole province, which provides a guarantee for computer mapping, information extraction and interpretation in the whole region.
In addition, according to the specific situation, we should adopt different stages of spectral feature change analysis, feature information extraction and classification, post-processing of information extraction, various annotation processing of remote sensing image results map, final mapping and other image processing technologies.