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http://dx.doi.org/10.7780/kjrs.2015.31.6.6

WPS-based Satellite Image Processing onWeb Framework and Cloud Computing Environment  

Yoon, Gooseon (Department of Information Systems Engineering, Hansung University)
Lee, Kiwon (Department of Information Systems Engineering, Hansung University)
Publication Information
Korean Journal of Remote Sensing / v.31, no.6, 2015 , pp. 561-570 More about this Journal
Abstract
Till now, applications of many kinds of satellite images have been accentuated in the datacentric scientific studies, researches regarding system development and concerned technologies for them are on the un-matured stage. Especially, satellite image processing requires large volume data handling and specific analysis functionalities, so that practical necessity of base study for system development is emphasized on. In the view of information system, various edged trends such as web standards, cloud computing, or web framework are utilized owing to their application benefits proven and business needs. Considered these aspects, a testing implementation was carried out using OpenStack cloud computing environment and e-government framework. As for the processing functions, WPS in GeoServer, as one of OGC web standards, was applied to perform interoperable data processing scheme between two or more remote servers. Working with the server implemented, client-side was also developed using several open sources such as HTML 5, jQuery, and OpenLayers. If it is that completed further experiments onsite applications with actual multi-data sets and extension of on-demand functionalities with the result of this study, it will be referred as an example case model for complicated and complex system design and implementation which needs cloud computing, geo-spatial web standards and web framework.
Keywords
Cloud; Web Framework; Web Processing Service; Open Source; Satellite Image;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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1 Chou, D.C., 2015. Cloud computing: A value creation model, Computer Standards & Interfaces, 38: 72-77.   DOI
2 Delipetreva, B., A. Jonoskia, and D.P. Solomatine, 2014. Development of a web application for water resources based on open source software, Computers & Geosciences, 62: 35-42.   DOI
3 E-government, 2015. About the E-government standard framework, http://www.egovframe.go.kr/EgovIntro. jsp?menu=1&submenu=1 (Accessed November 23, 2015).
4 Fu, P. and J. Sun, 2010. Web GIS Principles and Applications, ESRI Press, p. 296.
5 GDAL, 2015. GDAL - Main Page, http://www.gdal.org/index.html (Accessed December 23, 2015).
6 GeoServer, 2015. What is GeoServer?, http://geoserver.org/about/ (Accessed December 23, 2015).
7 GISGeography, 2015. 10 Open Source Remote Sensing Software Packages, http://gisgeography.com/open-source-remote-sensing-software-packages/ (Accessed December 23, 2015).
8 Kang, S., K. Lee, and Y. Kim, 2012. Preliminary Performance Testing of Geo-spatial Image Parallel Processing in the Mobile Cloud Computing Service, Korean Journal of Remote Sensing, 28(4): 467-475. (In Korean with English abstract)   DOI
9 Kang, S. and K. Lee, 2013. Testing Implementation of Remote Sensing Image Analysis Processing Service on OpenStack of Open Source Cloud Platform, Journal of the Korean Association of Geographic Information Studies, 16(4): 141-152. (In Korean with English abstract)   DOI
10 Kang, S. and K. Lee, 2014. A Performance Test of Mobile Cloud Service for Bayesian Image Fusion, Korean Journal of Remote Sensing, 30(4): 445-454. (In Korean with English abstract)   DOI
11 Kim, K. and K. Lee, 2015. Visualization of Geo-spatial Data and Public Data Using Mobile Operating Environment in the eGovernment Standard Framework, Journal of Korea Spatial Information Society, 23(1): 9-17. (In Korean with English abstract)   DOI
12 Lee, K. and S. Kang, 2013. Mobile cloud service of geo-based image processing functions: a test iPad implementation, Remote Sensing Letters, 30(4): 910-919.
13 Mell, P. and T. Grance, 2011. The NIST Definition of Cloud Computing, NIST Special Publication 800-145, p. 7
14 Mitchell, T., 2006. Web Mapping Illustrated, O'Reilly, p. 347.
15 OTB Development Team, 2015. The ORFEO Tool Box Software Guide, CNES, 788pp.
16 Muehlenhaus, I., 2014. Web Cartography Map Design for Interactive and Mobile Devices, CRC Press, p. 240.
17 OpenStack, 2015a. OpenStack Software, https://www.openstack.org/software/ (Accessed December 23, 2015).
18 OpenStack, 2015b. OpenStack Installation Guide for Ubuntu, http://docs.openstack.org/liberty/install-guide-ubuntu (Accessed November 23, 2015).
19 Schut, P., 2007. OpenGIS Web Processing Service, OGC 05-007r7, p. 88
20 Spring Framework, 2015. Spring Framework PROJECTS, http://projects.spring.io/springframework/ (Accessed December 23, 2015).
21 Stefanakis, E., 2015. An Introduction to Web Mapping and Geospatial Web Services, CreateSpace Independent Publishing Platform, p. 157.
22 Swain, N.R., K. Latu, S.D. Christensen, N.L. Jones, E.J. Nelson, D.P. Ames, and G.P. Williams, 2015. A review of open source software solutions for developing water resources web applications, Environmental Modelling & Software, 67: 108-117.   DOI
23 Yoon, G. and K. Lee, 2015. Testing Application of Web Processing Service (WPS) Standard to Satellite Image Processing, Korean Journal of Remote Sensing, 31(3): 245-254. (In Korean with English abstract)   DOI
24 Zavala-Romero, O., A. Ahmed, E.P. Chassignet, J. Zavala-Hidalgo, A.F. Eguiarte, and A. Meyer-Baese, 2014. An open source Java web application to build self-contained web GIS sites, Environmental Modelling & Software, 62: 210-220.   DOI