Distributed storage and retrieval of massive remote sensing images

Muchun Lu; Yunfeng Nie; Wantao Liu

doi:10.1117/12.2662384

28 December 2022 Distributed storage and retrieval of massive remote sensing images

Muchun Lu, Yunfeng Nie, Wantao Liu

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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 1250634 (2022) https://doi.org/10.1117/12.2662384
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China

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.

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Muchun Lu, Yunfeng Nie, and Wantao Liu "Distributed storage and retrieval of massive remote sensing images", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 1250634 (28 December 2022); https://doi.org/10.1117/12.2662384

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