摘要
随着遥感图像数量的急剧增加,基于内容的遥感图像检索系统逐渐成为了一个研究热点。系统地介绍了该领域各个方面研究的现状。首先给出了遥感图像内容检索系统的基本结构和查询策略。其次,结合遥感图像的特点,着重介绍了基于纹理、形状、结构特征相似性比较等方面的内容,针对这些方面的研究所存在的问题提出了见解,介绍了所研究成果,并对今后的工作进行了展望。
The content- based retrieval (CBR) system for remote sensing images (RSI) has been a hot research area recently with an increasing huge amount of image data generated during the two decades. The present situation of each research aspect in this area is introduced. Considering the features of remote sensing images, the structure and query strategies of the CBR system for RSI are discussed. Similarity comparison of the texture, shape and topography are discussed. Suggestions are presented to solve the existing problems in this field. Some opinions about problems existing in this area are presented and the future development is described.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2003年第5期8-12,共5页
Journal of Wuhan University of Technology：Information & Management Engineering
关键词
遥感图像
基于内容的检索
特征提取
元数据
remote sensing image
content-based retrieval
feature extraction
mate-data
