An On-Demand Retrieval Method Based on Hybrid NoSQL for Multi-Layer Image Tiles in Disaster Reduction Visualization
An On-Demand Retrieval Method Based on Hybrid NoSQL for Multi-Layer Image Tiles in Disaster Reduction Visualization
复制标题
减灾可视化中基于混合NoSQL的多层图像瓦片按需检索方法
DOI：
10.3390/ijgi6010008
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发表时间：
2017-01
影响因子：
3.4
通讯作者：
Fan Yida
中科院分区：
文献类型：
--
作者：
Qiu Linyao;Zhu Qing;Du Zhiqiang;Wang Meng;Fan Yida
Monitoring, response, mitigation and damage assessment of disasters places a wide variety of demands on the spatial and temporal resolutions of remote sensing images. Images are divided into tile pyramids by data sources or resolutions and published as independent image services for visualization. A disaster-affected area is commonly covered by multiple image layers to express hierarchical surface information, which generates a large amount of namesake tiles from different layers that overlay the same location. The traditional tile retrieval method for visualization cannot distinguish between distinct layers and traverses all image datasets for each tile query. This process produces redundant queries and invalid access that can seriously affect the visualization performance of clients, servers and network transmission. This paper proposes an on-demand retrieval method for multi-layer images and defines semantic annotations to enrich the description of each dataset. By matching visualization demands with the semantic information of datasets, this method automatically filters inappropriate layers and finds the most suitable layer for the final tile query. The design and implementation are based on a two-layer NoSQL database architecture that provides scheduling optimization and concurrent processing capability. The experimental results reflect the effectiveness and stability of the approach for multi-layer retrieval in disaster reduction visualization.
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DOI：
10.3390/s8127973
发表时间：
2008-12-08
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Potere D
通讯作者：
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影响因子：
2.4
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Longgang Xiang;Jing Chen;J. Gong;Zhen Zeng
影响因子：
3.7
作者：
L. Sweta;W. Bijker
通讯作者：
L. Sweta;W. Bijker
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影响因子：
5.1
作者：
Shengtao Sun;Lizhe Wang;Rajiv Ranjan;Aizhi Wu
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Aizhi Wu
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DOI：
10.1016/j.future.2012.08.005
发表时间：
2013-02
期刊：
Future Generation Computer Systems
影响因子：
--
作者：
Li, Rui;Zhang, Yinfeng;Xu, Zhengquan;Wu, Huayi
通讯作者：
Wu, Huayi