SAR Image Retrieval Based on Gaussian Mizture Model Classification

摘要：

SAR image retrieval,lacking of well performance recently due to the particularity of SAR image,has drawn more and more attention with the increasing volume of SAR data and the dramatically enlarging application range of SAR image. This paper considers both the characteristic of content-based image retrieval (CB1R) and SAR image,proposing a novel SAR image retrieval method. The proposed method can be divided into two parts:image classification and matching.Firstly we use Gaussian Mixture Model (GMM) to gain a precise result of classification,and then we get the retrieval results through the integrated region matching (IRM) algorithm.Experimental results show that the proposed method can retrieve SAR images which contain all kinds of surface features effectively.

关键词： SAR image image retrieval classification matching

作者: Biao Hou Xu Tang Licheng Jiao Shuang Wang

作者单位: Key Laboratory oflntelligent Perception and Image Understanding of Ministry of Education of China,Institute oflntelligent Information Processing,Xidian University,Xian 710071

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 796-799

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）