1 |
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)
과학기술학회마을
DOI
ScienceOn
|
2 |
Kang, S. and K. Lee, 2013a. Mobile app approach by open source stack for satellite images utilization, Remote Sensing Letters, 4(4): 648-656.
DOI
|
3 |
OpenStack, 2014. OpenStack Installation Guide for Ubuntu 12.04 (LTS) havana, Available at: //docs.openstack.org/havana/install-guide/install/apt/openstack-install-guide-apt-havana.pdf (Accessed: 13 March 2014).
|
4 |
OTB Development Team, 2013. The ORFEO Tool Box Software Guide Updated for OTB-3.20, 768p.
|
5 |
Yang, C and C. Xu, 2013. Geoscience Application Challenges to Computing Infrastructure, In Spatial Cloud Computing: A Practical Approach, C. Yang, Q. Huang, Z. Li, C. Xu, and K. Liu (ed.), CRC Press: 1-15.
|
6 |
Kim, K., S. Kang, and K. Lee. 2013. Geo-based image blending in a mobile cloud environment, Remote Sensing Letters, 4(11): 1117-1126.
DOI
ScienceOn
|
7 |
Kang, S. and K. Lee, 2013b. 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.
과학기술학회마을
DOI
|
8 |
Kang, S., K. Kim, and K. Lee, 2013. Tablet Application for Satellite Image Processing on Cloud Computing Platform, Proc. of International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 21-26 July.
|
9 |
Kim, I.-H. and M.-H. Tsou, 2013. Enabling Digital Earth simulation models using cloud computing or grid computing; two approaches supporting high-performance GIS simulation frameworks, International Journal of Digital Earth, 6(4): 383-403.
DOI
|
10 |
Krebs, R., C. Momm, and S. Kounev, 2013. Metrics and techniques for quantifying performance isolation in cloud environments, Science of Computer Programming, http://dx.doi.org/10.1016/j.scico.2013.08.003
DOI
|
11 |
Lance, A., 2012. Comparing open source private cloud (IaaS) platforms, Presentation Material, Available at: http://cdn.oreillystatic.com/en/assets/1/event/80/Comparing Open Source Private CloudPlatforms Presentation.pdf (Accessed: 5 March 2014).
|
12 |
Lee, K. 2012. Open Source Cloud Computing: An Experience Case of Geo-based Image Handling in Amazon Web Services, Korean Journal of Remote Sensing, 28(3): 337-346.
과학기술학회마을
DOI
|
13 |
Lee, K. and S. Kang, 2013. Mobile cloud service of geo-based image processing functions: a test iPad implementation, Remote Sensing Letters, 4(9): 910-919.
DOI
ScienceOn
|
14 |
Cutsforth, N., 2012. Simplified Elevation Analysis in the Cloud: Digitalglobe's Advanced Elevation Series, Imaging Notes, Fall 2012: 36-38.
|
15 |
Navulur, K., 2013. Demystifying Cloud Computing for Remote Sensing Applications, Earthwide Communication LLC, August 2013: 14-19.
|
16 |
Barnatt, C., 2010. A Brief Guide to Cloud Computing. Constable & Robinson Ltd., p.289.
|
17 |
Cetl, V., 2013. Web and Cloud computing based Geospatial Services and Applications, Proc. of Workshop on Geospatial Data Infrastructure for Economic Development.
|
18 |
Evangelidis, K., K. Ntouros, S. Makridis, and C. Papatheodorou, 2014. Geospatial services in the Cloud, Computers and Geosciences, 63: 116-122.
DOI
|
19 |
Fasbender, D. and P. Bogaert, 2007. Bayesian data fusion for adaptable image pansharpening, IEEE Transactions on Geoscience and Remote Sensing, 46(6): 1847-1857.
DOI
|
20 |
Fasbender, D., V. Obsomer, P. Bogaert, and P. Defourny, 2009. Sensor and Data Fusion, ITech, Vienna, Austria.
|
21 |
Fernando, N., S. W. Loke, and W. Rahayu, 2013. Mobile cloud computing: A survey, Future Generation Computer Systems, 29: 84-106.
DOI
ScienceOn
|
22 |
Huang, Q., C. Yang, K. Benedict, S. Chen, A. Rezgui, and J. Xie, 2013. Utilize cloud computing to support dust storm forecasting, International Journal of Digital Earth, 6(4): 338-355.
DOI
|
23 |
Iosup, A., S. Ostermann, N. Yigitbasi, R. Prodan, T. Fahringer, and D. Epema, 2011. Performance analysis of cloud computing services for manytasks scientific computing, IEEE Transactions on Parallel and Distributed Systems, 22(6): 931-945.
DOI
|