基于MongoDB的海量遥感影像大数据存储

随着科技的发展,遥感影像照片在质量及数量上急剧增加,如何安全并高效地将其存储已成为当前研究的一个热点问题.应用NoSQl非关系型数据库,提出一种基于MongoDB的遥感影像大数据的存储方法.用基于GridFS的大文件存储方式存储影像,再将其有关的属性信息以一条文档的形式插入MongoDB数据库,两者之间用相同的ID编号连接.通过与关系型数据库PostgreSQL在大文件以及传统海量文档存储方面进行性能测试比较,结果表明基于MongoDB的海量遥感影像大数据存储方法在各方面性能均明显优于基于关系型数据库的存储方法.

Storage of Massive Remote Sensing Image Data Based on MongoDB

With the development of the technology, number and quality of the remote sensing image data are increasing quickly. How to store massive remote sensing image data becomes a hot issue at the present. In this paper, by introducing NoSQL non_relational database, a storage method based on MongoDB for storing massive remote sensing image data has been provided. Firstly, by using GridFS to store massive remote sensing image data, then inserting the attribute information related to the remote sensing image which regarded as the form of a document into MongoDB database. Two storage methods can be associated with each other by using the same ID number. At last, by comparing with the relational database PostgreSQL in the performance of storing large file_type and traditional document_type data, the result shows that the storage way based on MongoDB is confirmed much better than the storage way based on the relational database in all aspects.