Research on Quickly Search in Massive Remote Sensing Images Based on Hbase
Authors
Chen Wu, Jicheng Quan, Yuwei Yuan, Yu Liu, Hongwei Wang, Xiuying Zhao, Mingquan Yang
Corresponding Author
Chen Wu
Available Online June 2014.
- DOI
- 10.2991/csss-14.2014.110How to use a DOI?
- Keywords
- HBase; Hilbert; massive remote sensing images; image pyramid model; quickly search
- Abstract
On the basis of analyzing massive remote sensing images storage and HBase, Hilbert Curve was applied in image pyramid model. A solution about quickly search in massive remote sensing images was put forward in this paper. The experiment showed that the solution not only could solve the storage problem in cluster that single computer couldn’t, but also realized the quickly search in massive remote sensing images. This solution can be used in the further process of massive remote sensing images.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chen Wu AU - Jicheng Quan AU - Yuwei Yuan AU - Yu Liu AU - Hongwei Wang AU - Xiuying Zhao AU - Mingquan Yang PY - 2014/06 DA - 2014/06 TI - Research on Quickly Search in Massive Remote Sensing Images Based on Hbase BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 469 EP - 472 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.110 DO - 10.2991/csss-14.2014.110 ID - Wu2014/06 ER -