Abstract: With the increasing complexity of natural resource management, polygon assisted identification has become a key technology to improve the efficiency and accuracy of investigation and monitoring. This paper aims to study a polygon assisted identification method based on knowledge database similarity retrieval to provide efficient and practical technical solutions for natural resource investigation and monitoring work.Firstly,This paper focuses on the construction and management of the knowledge database,designs and constructs a knowledge database framework covering a wide range of natural resource features,realize massive sample data to feature expression, organizational management, updating and maintenance, and effective utilization.Secondly, this paper proposes a novel similarity retrieval algorithm to optimize the execution efficiency of the algorithm, and verifies its effectiveness through application research. The research results show that this method effectively supports the needs of polygon assisted identification and enhances the accuracy and efficiency of investigation and monitoring work.

Key words: polygon assisted identification, knowledge database construction, similarity retrieval algorithm, natural resource survey and monitoring