With the rapid development of modern aerospace flying and sensor technology, a great amount of remote sensing images have been available for people. In order to extract the information from remote sensing images efficiently, image understanding in remote sensing has drawn increasing attention from researcher. However, there is a considerable gap between the practicality of existing technology and that of expected. People have the good ability to integrate visual experience and background knowledge, which differentiates traditional image understanding algorithms from manual image interpretation. According to this, we carry out research on architecture design and relevant technologies. A knowledge system on remote sensing images understanding is proposed in the paper based on the analysis of domain knowledge in remote sensing understanding. It can provide knowledge guidance and support for the process of remote sensing image understanding and improve the accuracy and practicability. The main contributions and novelties are summarized as follows. [1] The Research on Knowledge Representation in Remote Sensing Image The concept knowledge tree based on the Concept is adopted as the core model for knowledge representation and formalization. Based on the precious work , we make the further studies on its application, such as semantic similarity computing, and knowledge reasoning. [2] Construction of Knowledge System on Remote Sensing Understanding Analyzing the domain knowledge in the field of remote sensing, the knowldge system on remote sensing understanding is built with the concept knowledge tree as its core model of knowledge representation and formalization. Besides, by representing the knowledge semantically, we can implement many operations with symbolic reasoning, such as the algorithm invoking, feature transformation, and image management. Semantic representaion can not only provide the unified the interface in knowledge representation and application, but also offer convenience in knowledge management. [3] Application of Knowledge System on Remote Sensing Understanding Taking the process of remote sensing image understanding as the clue, a layering reasoning method is adopted to provide knowledge guidance and support for the process of remote sensing image understanding, based on the correlation between process and different type of knowledge in knowledge system on remote sensing understanding. It can help the computer to ...
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