Image data storage method based on pyramid model in cloud
云环境中基于金字塔模型的影像数据存储方法

With the development of satellite remote sensing technology, the size of image data is growing at an incredible rate, so the traditional data storage technology can not satisfy the massive image data processing requirements. In this paper, the BML Storage (storage based on MapReduce and local file system) method is proposed for improving the performance of massive image data storage. It is a distributed parallel storage method combined with Pyramid model, MapReduce thinking and cloud computing. This method recodes image data which has been stratified and blocked based on the pyramid model, and a storage rule is defined to ensure that all of the tiles can be easily stored inparallel. Compared with existing methods, experiments show that the performance of massive image data storage is improved in a certain extent.