摘要
根据遥感影像应用特点,提出了一种遥感影像数据库基于内容检索的模型,重点分析和讨论了该模型中采用的特征提取算法、多维索引和相关反馈技术,最后提出了需要进一步研究的内容。
It is one of key techniques to retrieve the object region efficaciously from massive remote sensing image database. In this paper, we give a kind of model of content-based retrieval in remote sensing image according to the characters of remote sensing image application firstly, and then we analyze and discuss the algorithm for feature extraction adopted and multidimensional indexing and relevance feedback by this model in detail. Finally, we propose the intending contents to be research in this model.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2005年第9期787-790,共4页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2003AA131152)。
关键词
基于内容的检索
遥感影像
图像数据库
特征提取
目标区域
content-based retrieve
remote sensing image
image database
feature extraction
object region
