Semantic-based retrieval of remote sensing images in a grid environment

被引：11
作者：
Sun, H [1 ]
Li, SX [1 ]
Li, WJ [1 ]
Ming, Z [1 ]
Cai, SB [1 ]
机构：
[1] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Guangdong, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2005年 / 2卷 / 04期
基金：
中国国家自然科学基金;
关键词：
grid technology; image retrieval; ontology; remote sensing images (RSIs);
D O I：
10.1109/LGRS.2005.853573
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Because of the surprisingly increasing volume and complicated nature of remote sensing images (RSIs), one of the main obstacles to realize efficient retrieval of the RSIs is the lack of effective sharing technologies and semantic description methods. In this letter, we design and implement a prototype grid system named RSIsGrid for semantic-based RSIs retrieval using ontology and grid technologies. In order to verify the semantic-based method, measures such as the recall, precision, and query time are used. Test results have indicated that the semantic-based method can promote the query performance of the RSIs.
引用
收藏
页码：440 / 444
页数：5
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