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

클라우드 컴퓨팅과 웹 프레임워크 환경에서 WPS 기반 위성영상 정보처리

  • Yoon, Gooseon (Department of Information Systems Engineering, Hansung University) ;
  • Lee, Kiwon (Department of Information Systems Engineering, Hansung University)
  • 윤구선 (한성대학교 정보시스템공학과) ;
  • 이기원 (한성대학교 정보시스템공학과)
  • Received : 2015.12.04
  • Accepted : 2015.12.28
  • Published : 2015.12.31

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.

현재 위성정보 활용은 데이터 중심의 과학적 연구를 위주로 하고 있어 위성정보 처리나 응용 시스템에 대한 연구나 기술 개발은 미흡한 실정이다. 특히 위성영상정보는 다른 분야에 비하여 대용량의 정보 처리와 전문 분석 기능을 요구하기 때문에 응용 시스템 개발을 위한 연구의 필요성이 점점 부각되고 있다. 한편 정보시스템 분야에서는 웹 기반 표준과 클라우드 컴퓨팅 환경 뿐만 아니라 프레임워크 등과 같은 내용들이 적용상의 장점과 실질적인 수요에 근거하여 부각되고 있다. 이 연구에서는 오픈소스 클라우드 컴퓨팅 환경인 오픈스택(OpenStack)과 전자정부 표준프레임워크를 기반으로 하여 위성정보 처리기능을 제공하는 웹서비스 시스템을 시험 구현하였다. 처리 기능은 서로 다른 웹 서비스 시스템 간에 상호 운영이 가능하도록 GeoServer에서 지원하는 WPS를 적용하였다. 이러한 클라우드 기반 웹 서버 구축에 따라 운영되는 클라이언트 측도 HTML 5와 JQuery, OpenLayers와 같은 오픈소스를 적용하여 구현하였다. 이 연구의 결과는 추가적인 현장 적용 실험과 수요자 요구 기능 추가 실험 등을 거쳐 클라우드 컴퓨팅 환경과 전자정부 표준프레임워크, 공간정보 처리 표준 사양들이 복합적으로 요구되는 위성정보 분석 처리 시스템 구현을 위한 참고 모델로 이용될 수 있다.

Keywords

References

  1. Chou, D.C., 2015. Cloud computing: A value creation model, Computer Standards & Interfaces, 38: 72-77. https://doi.org/10.1016/j.csi.2014.10.001
  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. https://doi.org/10.1016/j.cageo.2013.09.012
  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) https://doi.org/10.7780/kjrs.2012.28.4.10
  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) https://doi.org/10.11108/kagis.2013.16.4.141
  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) https://doi.org/10.7780/kjrs.2014.30.4.3
  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) https://doi.org/10.12672/ksis.2015.23.1.009
  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. Muehlenhaus, I., 2014. Web Cartography Map Design for Interactive and Mobile Devices, CRC Press, p. 240.
  16. OpenStack, 2015a. OpenStack Software, https://www.openstack.org/software/ (Accessed December 23, 2015).
  17. OpenStack, 2015b. OpenStack Installation Guide for Ubuntu, http://docs.openstack.org/liberty/install-guide-ubuntu (Accessed November 23, 2015).
  18. OTB Development Team, 2015. The ORFEO Tool Box Software Guide, CNES, 788pp.
  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. https://doi.org/10.1016/j.envsoft.2015.01.014
  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) https://doi.org/10.7780/kjrs.2015.31.3.4
  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. https://doi.org/10.1016/j.envsoft.2014.08.029

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  1. Performance Testing of Satellite Image Processing based on OGC WPS 2.0 in the OpenStack Cloud Environment vol.32, pp.6, 2016, https://doi.org/10.7780/kjrs.2016.32.6.6
  2. Linkage of OGC WPS 2.0 to the e-Government Standard Framework in Korea: An Implementation Case for Geo-Spatial Image Processing vol.6, pp.1, 2017, https://doi.org/10.3390/ijgi6010025
  3. 공간정보 웹 서비스에서 OGC WPS 2.0 적용 vol.19, pp.3, 2015, https://doi.org/10.11108/kagis.2016.19.3.016
  4. Cloud-based Satellite Image Processing Service by Open Source Stack: A KARI Case vol.33, pp.4, 2015, https://doi.org/10.7780/kjrs.2017.33.4.1
  5. 오픈소스 PaaS 클라우드와 공간정보 처리서비스 연계 기초 vol.20, pp.4, 2015, https://doi.org/10.11108/kagis.2017.20.4.024