941
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Storage and processing of massive remote sensing images using a novel cloud computing platform

, , , &
Pages 322-336 | Received 28 May 2013, Accepted 01 Apr 2013, Published online: 02 Jul 2013

References

  • Almeer , M. H. 2012 . Cloud Hadoop Map Reduce for Remote Sensing Image Analysis . Journal of Emerging Trends in Computing and Information Sciences , 3 : 637 – 644 .
  • Booth , D. T. , Cox , S. E. and Berryman , R. D. 2006 . Point Sampling Digital Imagery with ‘SamplePoint’ . Environmental Monitoring and Assessment , 123 ( 1–3 ) : 97 – 108 .
  • Breckenridge , R. P. and Dakins , M. E. 2011 . Evaluation of Bare Ground on Rangelands Using Unmanned Aerial Vehicles: A Case Study . GIScience & Remote Sensing , 48 ( 1 ) : 74 – 85 .
  • Cafaro , M. and Aloisio , G. 2011 . Grids, Clouds and Virtualization , London : Springer-Verlag .
  • Canty , M. J. and Nielsen , A. A. 2006 . Visualization and Unsupervised Classification of Changes in Multispectral Satellite Imagery . International Journal of Remote Sensing , 27 ( 18 ) : 3961 – 3975 .
  • Chitade , A. Z. and Katiyar , S. K. 2010 . Colour Based Image Segmentation Using K-Means Clustering . International Journal of Engineering Science and Technology , 2 ( 10 ) : 5319 – 5325 .
  • Codella , N. C. F. , Hua , G. , Natsev , A. and Smith , J. R. December 13–16 2011 . “ Towards Large Scale Land-Cover Recognition of Satellite Images ” . In 8th International Conference on Information, Communications and Signal Processing (ICICS) Singapore , December 13–16 , 1 – 5 . Washington , DC : IEEE Press .
  • Dean , J. and Ghemawat , S. December 6–8 2004 . “ MapReduce: Simplified Data Processing on Large Clusters ” . In Proceedings of the Sixth Symposium on Operating System Design and Implementation , December 6–8 , San Francisco , CA : Usenix Association .
  • De Jong , S. M. and Der Meer , F. D. Van . 2004 . Remote Sensing Image Analysis: Including the Spatial Domain , New York , NY : Kluwer Academic Publishers .
  • Dinh, T. D. “Hadoop Performance Evaluation.” http://wr.informatik.uni-hamburg.de/_media/research/labs/2009/2009-12-tien_duc_dinh-evaluierung_von_hadoop-report.pdf (http://wr.informatik.uni-hamburg.de/_media/research/labs/2009/2009-12-tien_duc_dinh-evaluierung_von_hadoop-report.pdf) (Accessed: 20 April 2013 ).
  • Fichera1 , C. R. , Modica , G. and Pollino , M. 2012 . Land Cover Classification and Change-Detection Analysis Using Multi-Temporal Remote Sensed Imagery and Landscape Metrics . European Journal of Remote Sensing , 45 : 1 – 18 .
  • Filippi , A. M. , Bhaduri , B. L. , Naughton , T. , King , A. L. , Scott , S. L. and Güneralp , I. 2012 . Hyperspectral Aquatic Radiative Transfer Modeling Using a High-Performance Cluster Computing-Based Approach . GIScience & Remote Sensing , 49 ( 2 ) : 275 – 298 .
  • France , V. and Hlavac , V. 2004 . Statistical Pattern Recognition Toolbox for Matlab , Prague: Czech Technical University . Technical ReportNo. CTU–CMP–2004–08
  • Hardin , P. J. and Jensen , R. R. 2011 . Introduction – Small-Scale Unmanned Aerial Systems for Environmental Remote Sensing . GIScience & Remote Sensing , 48 ( 1 ) : 1 – 3 .
  • Hazzard , E. 2011 . OpenLayers 2.10 Beginner's Guide: Create, Optimize, and Deploy Stunning Cross-Browser Webmaps with the OpenLayers JavaScript Web-Mapping Library , Birmingham : Packt .
  • Holmes , A. 2012 . Hadoop in Practice New York, NY: Manning.
  • Jensen , J. R. 2006 . Remote Sensing of the Environment: An Earth Resource Perspective , 2nd , Upper Saddle River, NJ: Prentice Hall .
  • Kropla , B. 2005 . Beginning MapServer: Open Source GIS Development , New York , NY : Springer-Verlag .
  • Li , B. , Zhao , H. and LV , Z. October10 2010 . “ Parallel ISODATA Clustering of Remote Sensing Images Based on MapReduce ” . In Proceedings of IEEE Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Huangshan , October10 , 12380 – 383 . Washington , DC : IEEE Press .
  • Lin , F. C. , Chung , L. K. , Ku , W. Y. , Chu , L. R. and Chou , T. Y. March 25–28 2013a . The Framework of Cloud Computing Platform for Massive Remote Sensing Images , March 25–28 , Barcelona : The 27th IEEE International Conference on Advanced Information Networking and Applications (AINA) .
  • Lin , F. C. , Wang , C. J. , Chung , L. K. , Ho , C. H. and Chou , T. Y. March 17–22 2013b . “ The Framework of Novel K-means Embedded Cloud Computing Platform for Real-time Unmanned Aerial Vehicle (UAV) Remote Sensing Images Processing ” . In The International Symposium on Grids and Clouds (ISGC) March 17–22 , Taipei
  • Lv , Z. , Hu , Y. , Zhong , H. , Wu , J. , Li , B. and Zhao , H. 2010 . “ Parallel K-Means Clustering of Remote Sensing Images Based on MapReduce, ” . In Web Information Systems and Mining, Lecture Notes in Computer Science, 6318 , Edited by: Wang , F. L. , Gong , Z. , Luo , X. and Lei , J. 162 – 170 . Berlin : Springer .
  • Mahmood , Z. and Hill , R. 2011 . Cloud Computing for Enterprise Architectures , London : Springer-Verlag .
  • Owen , S. , Anil , R. , Dunning , T. and Friedman , E. 2012 . Mahout in Action , New York , NY : Manning .
  • Richards , J. A. and Jia , X. 2006 . Remote Sensing Digital Image Analysis: An Introduction , Berlin: Springer-Verlag .
  • Sosinsky , B. 2011 . Cloud Computing Bible Indianapolis, IN: Wiley.
  • Wang , G. , He , G. and Liu , J. 2012 . A New Classification Method for High Spatial Resolution Remote Sensing Image Based on Mapping Mechanism , 186 – 190 . Proceedings of the 4th GEOBIA . Rio de Janeiro, May 7–9, São José dos Campos: INPE - Instituto Nacional de Pesquisas Espaciais.
  • Weng , Q. 2010 . Remote Sensing and GIS Integration: Theories. Methods, and Applications , New York, NY: McGraw-Hill Professional .
  • Zhang , J. , Li , T. , Ruan , D. , Gao , Z. and Zhao , C. 2012 . A Parallel Method for Computing Rough Set Approximations . Information Sciences , 194 : 209 – 223 .
  • Zhao , W. , Ma , H. and He , Q. 2009 . “ Parallel K-Means Clustering Based on MapReduce ” . In CloudCom, Lecture Notes in Computer Science, 5931 , Edited by: Jaatun , M. G. , Zhao , G. and Rong , C. 674 – 679 . Berlin : Springer .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.