Distributed storage and retrieval of massive remote sensing images

Abstract

With the continuous development of remote sensing technology, remote sensing images show multi-source, massive and high resolution, resulting in exponential growth of remote sensing data, which brings great challenges to image pyramid storage and retrieval. In order to solve the problem of low storage and query efficiency of tile data, the Z-Curve index is proposed in this paper by improving the Z curve. This paper uses the distributed Accumulo database for storage. The experiments show that this method can effectively improve the efficiency of tile data query.