Research on Remote Sensing Image Retrieval Based on Geographical and Semantic Features

摘要：

Based on geographical and semantic features of remote sensing image, the paper presents a universal remote sensing image data model, and analyzes the logical structure and storage methods of this model. Based on the model, the paper puts forward a remote sensing image retrieval method, and makes analysis of the process of remote sensing image retrieval. At last, on basis of computer and database technology, the method is tested; the test results confirm the validity of the approach.

关键词： Remote sensing image image retrieval semantic geographical feature CBIR

作者: Li Wei Wang Weihong Lu Feng

作者单位: Software College, Zhejiang University of Technology Hangzhou, China State Key Lab of Resources and Environmental Information System, CAS Beijing, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 162-165

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）