Index model based on top-down greedy splitting R-tree and three-dimensional quadtree for massive point cloud management

Yu, Anbin; Wensheng, Mei

doi:10.1117/1.jrs.13.028501

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Z-curve Index Structure1

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Cited by 2 publications

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“…The linear quadtree can be well constructed by using Z curve, and the spatial data is reduced. The row and column coordinates are mapped into onedimensional curves for Z-type sorting coding 8 . The advantage of this curve is that it can reduce the discontinuity of spatial data.…”

Section: Z-curve Index Structurementioning

confidence: 99%

Distributed storage and retrieval of massive remote sensing images

Nie

Liu

2022

Third International Conference on Computer Science and Communication Technology (ICCSCT 2022)

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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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Section: Z-curve Index Structurementioning

confidence: 99%