A Knowledge-based procedure for remote sensing image classification

摘要：

　　Object-based image analysis(OBIA)in combination with domain knowledge is an important methodology for remote sensing image interpretation.It can deal with semantic gap effectively.In this paper,a knowledge-based procedure for remote sensing image classification is presented.Domain knowledge is represented with semantic network,which guides the initial classification of the image.A quantitative matching degree is used in the modification of the initial classification.The proposed procedure is much more efficient compared with method in literature.

关键词： Object-based image analysis semantic network remote sensing image classification matching degree

作者: Limin Zhang Tao Xu Jianting Zhang Yingfu Yu

作者单位: Department of Scientific Research Naval Aeronautical and Astronautical University Yantai,China Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai,China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 71-75

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）