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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 demand for multi-source remote sensing data in various fields, how to efficiently manage multi-source mass remote sensing image data and better serve all industries is a hot topic in remote sensing database research. At present, many scholars at home and abroad have made researches on the construction of multi-source remote sensing image database. However, the research on multi-source remote sensing image data organization, remote sensing image data preprocessing and rapid indexing is still inadequate. A multi-source remote sensing image data organization model is designed to realize the integrated management of multi-source images. A semi-automatic preprocessing mechanism of multi-source massive original remote sensing images (especially aerial images) is achieved, which greatly shortens the original image Data processing time; a hybrid search method is designed to achieve the purpose of fast and efficient retrieval of massively multi-source remote sensing image data. The results show that the proposed method can improve the efficiency of database construction greatly. The search speed of hybrid index is faster than that of ArcSDE. The query speed can be increased by at least 4 times when the amount of data is small, Speed can be increased at least 12.83 times.