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基于形状轮廓的多源遥感图像数据库检索探索
引用本文:王静,彭望琭,郭平. 基于形状轮廓的多源遥感图像数据库检索探索[J]. 北京师范大学学报(自然科学版), 2004, 40(4): 493-498
作者姓名:王静  彭望琭  郭平
作者单位:北京师范大学计算机科学与技术系,100875,北京;北京师范大学计算机科学与技术系,100875,北京;北京师范大学珠海校区信息技术学院,519085,珠海,广东
摘    要:为了对海量的多源遥感数据进行有效的管理,对多源遥感数据库快速准确地进行查询检索便成为急待解决的问题.为此采用了矩特征表示形状轮廓特征,对多源遥感图像数据库检索进行了初步的探索.经过大量实验表明:使用矩特征表示形状轮廓特征进行多源遥感数据库检索,当待检索图像具有明显形状轮廓特征时,检索结果比较理想.

关 键 词:基于内容的图像检索  多源遥感图像数据库  特征提取  形状检索
修稿时间:2004-03-02

A RETRIEVAL SYSTEM FOR MULTI-SOURCE REMOTE SENSING IMAGE DATABASE BASED ON SHAPE
Wang Jing ) Peng Wanglu ,) Guo Ping ). A RETRIEVAL SYSTEM FOR MULTI-SOURCE REMOTE SENSING IMAGE DATABASE BASED ON SHAPE[J]. Journal of Beijing Normal University(Natural Science), 2004, 40(4): 493-498
Authors:Wang Jing ) Peng Wanglu   ) Guo Ping )
Affiliation:Wang Jing 1) Peng Wanglu 1,2) Guo Ping 1)
Abstract:In order to manage effectively huge multi-source remote sensing image database, retrieving the desired images quickly and accurately in the remote sensing image database becomes an urgent problem to solve. A preliminary experimental investigation on a retrieval system for multi-source remote sensing image database is carried out based on the technology of content-based image searching. Moments are used to denote the shape features of images to retrieve multi-source remote sensing image database. Experiments proved that the results are satisfied when the remote sensing images searched are with distinct shape feature.
Keywords:content-based image retrieval  multi-source remote sensing image database  feature extraction  shape retrieval
本文献已被 CNKI 维普 万方数据 等数据库收录!
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