摘要
随着各领域对多源遥感影像数据需求的不断增加,如何高效地管理多源海量遥感影像数据,更好地为各行各业服务是遥感数据库研究的热点。目前国内外很多学者在建设多源遥感影像数据库方面进行了相关研究,但对多源遥感影像数据组织、遥感影像数据预处理以及快速索引方面的研究尚存在不足。设计了一种多源遥感影像数据组织模型,实现了多源影像的集成化管理;实现了一种多源海量原始遥感影像(特别是航空影像)的半自动预处理机制,极大地缩短了原始影像数据的处理时间;设计了一种混合检索方法,达到了海量多源遥感影像数据快速高效检索的目的。结果表明:该方法建库效率显著提高,混合索引的查询速度比ArcSDE自动创建的空间索引检索速度有了快速提高,在数据量较小时查询速度至少可以提高4倍,而数据量较大时检索速度至少可以提高12.83倍。
With the increasing needs of multi-source image in various fields,it becomes a hot spot that how to efficiently manage multi-source massive remote sensing data. At present, many scholars at home and abroad have researched into construction of multi-source remote sensing image database, but the study of multi-source remote sensing image data organization,the remote sensing image data pre-processing and fast index are still insufficient. This paper designed a multi source remote sensing data organization model, and it can achieve the aim of integrated management of multi-source image. This paper developed a semi auto- matic preprocessing mechanism of multi-source mass image, which greatly reduced the processing time. A hybrid retrieval method was proposed to search image data efficiently. The results showed that the efficiency of building a database significantly improved. According to experiments, the hybrid index greatly speeded retrieval efficiency. When the amount of image data is smaller, the hybrid index at least can improve query speed by 4 times. While the amount of image data is very larger,the hybrid index at least can improve query speed by 12.83 times.
出处
《遥感技术与应用》
CSCD
北大核心
2013年第3期496-504,共9页
Remote Sensing Technology and Application
基金
江苏省遥感影像应用服务平台建设(K11110BY8C)
地球系统科学数据共享平台--长江三角洲科学数据共享平台
江苏高校优势学科建设工程资助项目
关键词
多源遥感影像
数据组织
混合索引
Multi-source remote sensing image
Data organization
Hybrid index
