基于Agent技术的遥感图像检索

Remote Sensing Images Retrieval Based-on Agent Technology

在数据源未知的互联网上和存储海量数据的数据库中,如何实现高效、可靠的图像检索十分重要。文章面向遥感图像处理应用,结合Agent技术,设计了基于目标特征的遥感图像检索模型。首先对待检索图像进行目标特征提取,再与特征库进行匹配,在用户Agent、检索信息Agent和反馈信息Agent作用下,依据相似度,自动、自主地完成检索功能。实验表明,所设计的模型提高了遥感图像处理系统的检索能力和效能。

It is very important to achieve efficient and reliable images retrieval from the data sources on the Internet and mass data storage in the database. Making use of Agent technology and for the remote sensing image processing application, a content-based retrieval system model is designed. One the one hand, the features of the retrieved image are extracted, and then these features must be matched with those stored in the library; on the other, according to similarity, the system automatically accomplishes the search function supported by client Agent, retrieva] information Agent and feedback information Agent. Experiments show that the designed model could promote the retrieval capabilities and effectiveness of remote sensing image process system.