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ISPRS Int. J. Geo-Inf. 2017, 6(1), 8; doi:10.3390/ijgi6010008

An On-Demand Retrieval Method Based on Hybrid NoSQL for Multi-Layer Image Tiles in Disaster Reduction Visualization

1,2,* , 1,2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Collaborative Innovation Centre for Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Faculty of Geosciences and Environmental Engineering of Southwest Jiaotong University, 999 Xi’an Road, Chengdu 611756, China
State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, 999 Xi’an Road, Chengdu 611756, China
National Disaster Reduction Centre of China, Ministry of Civil Affairs, 6 Guangbai East Road, Beijing 100124, China
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 20 November 2016 / Revised: 20 December 2016 / Accepted: 5 January 2017 / Published: 9 January 2017
View Full-Text   |   Download PDF [8077 KB, uploaded 9 January 2017]   |  


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. View Full-Text
Keywords: on-demand; multi-layer; semantic description; NoSQL; disaster reduction visualization on-demand; multi-layer; semantic description; NoSQL; disaster reduction visualization

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Qiu, L.; Zhu, Q.; Du, Z.; Wang, M.; Fan, Y. An On-Demand Retrieval Method Based on Hybrid NoSQL for Multi-Layer Image Tiles in Disaster Reduction Visualization. ISPRS Int. J. Geo-Inf. 2017, 6, 8.

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