Abstract: Remote sensing image target recognition technology has been widely used in the field of target dynamic monitoring and positioning. However, the result of image target recognition lacks the link with the target attribute information, which makes it difficult for analysts to carry out more complex target data association analysis and mining. In view of the lack of semantic attribute information in remote sensing image target recognition, the target information of image discrimination is linked to the semantic web by using knowledge graph technology. Firstly, the framework of building remote sensing image target knowledge graph is proposed. Secondly, according to different data types of remote sensing image targets, a remote sensing image target knowledge extraction model is constructed. The method of object entity recognition based on similarity and relationship extraction of predefined patterns are proposed. Then, based on the image object entity linking method considering the multiple features logistic model, the knowledge association between the remote sensing image object entity and the encyclopedia knowledge base is realized. Finally, experiments are carried out in the predetermined experimental area to verify the feasibility of this method.

Key words: knowledge graph, remote sensing image targets knowledge graph, image target entity, knowledge extraction, entity linking