Multi-source high resolution remote sensing image fusion based on intelligent decision

Application fields of multisource high resolution remote sensing image fusion are expending ceaselessly. Especially, commercial remote sensing satellite data and image fusion algorithms are constantly emerging. This paper proposed an intelligent decision strategy that can be used to query various remote sensing data for recommending the optimal image fusion data combination and appropriate fusion algorithm. The system architecture was defined as four layers including interaction layer, service layer, component layer, and data layer. In order to extend more plug-ins, we introduced the Zero-C distributed service framework to invoke different types of service interface. Besides, a main interface of intelligent inference system is developed for users to submit image fusion tasks.