SATELLITE IMAGE PROCESSING ON A GRID-BASED PLATFORM

Authors

  • Dana Petcu
  • Dorian Gorgan
  • Florin Pop
  • Dacian Tudor
  • Daniela Zaharie

DOI:

https://doi.org/10.47839/ijc.7.2.510

Keywords:

Satellite images, Grid services, Meteorology, Environment supervising, Parallel algorithms

Abstract

Satellite image processing is both data and computing intensive, and, therefore, it raises several difficulties or even impossibilities while being using one single computer. Moreover, the analysis and sharing of the huge amount of data provided daily by the space satellites is a major challenge for the remote sensing community. Recently, Gridbased platforms were built to address these issues. This paper presents a specialized Grid-based platform developed to enable remote sensing image processing for environmental problems, like preventing river floods or forest fires. Moreover, it exposes the novelty elements that distinguish it from other similar approaches.

References

G. Aloisio, M. Cafaro. A dynamic Earth observation system. Parallel Computing 29-10 (2003), p. 1357–1362.

V. Bacu, O. Muresan, D.Gorgan. MODIS image based computation of vegetation indices in MedioGRID architecture. Procs. SYNASC06, IEEE Computer Society (2006), p. 267-273.

V. Bacu, D. Gorgan. Resource measurements for water detection algorithm in MedioGrid architecture. Procs. ISPDC07, IEEE Computer Press (2007), p. 107-114.

R. Barbantan, D. Gorgan. Active objects based application over Grid environment, Procs. SYNASC06, IEEE Computer Society (2006), p. 289-295.

M.S. Boboila, G.V. Iordache, F. Pop. V. Cristea. A framework for scheduling image processing applications in MedioGRID, Procs. SYNASC06, IEEE Computer Society (2006), p. 303-308.

C.L. Carvajal-Jimenez, W. Lugo-Beauchamp, W. Rivera. Grid-HSI: using Grid computing to enable hyper-spectral imaging analysis. Procs. 3th Intern. Conf. Communications, Internet & Infor-mation Tech. (2004), p. 583-588.

A. Colesa, I. Ignat, R. Opris. Providing high data availability in MedioGRID. Procs. SYNASC 06, IEEE Computer Society (2006), p. 296-302.

D4Science (2008), http://www.d4science.org/.

DEGREE (2007), http://www.eu-degree.eu/.

N.A. Giovanni, F.B. Luigi, J. Linford. Grid technology for the storage and processing of remote sensing data: description of an application. SPIE 4881 (2003), p. 677–685.

D. Gorgan, O. Muresan, V. Bacu, C. Melenti, D. Safta. Satellite image processing by Medio-Grid platform kernel. Procs. CSCS16, vol. 2 (2007), p. 142-147.

GISHEO (2008), http://gisheo.info.uvt.ro.

G-POD (2007), http://eogrid.esrin.esa.int/.

A. Radu, V. Bacu, D. Gorgan. Diagrammatic description of satellite image processing work-flow. Procs. SYNASC’07, IEEE Computer Press (2007), p. 341-348.

Earth Observation Grid, http://www.e-science.clrc.ac.uk/web/ projects/earthobservation

C.J. Lenz, D. Majewski. EUROGRID and Meteo-GRID (2004). http://www.eurogrid.org.

MediGrid (2006), http://www.eu-medi-grid.org/.

C. Melenti, D. Safta, D. Gorgan. PIMS – multi-spectral image processing tool for semantic in-formation detection based on vegetation indices. Procs. SYNASC06, IEEE Computer Society (2006), p. 279-288.

O. Muresan. F. Pop. D. Gorgan. V. Cristea. Satellite image processsing applications in MedioGRID, Procs. ISPDC06, IEEE Computer Press (2006), p. 253-260.

D. Petcu, V. Iordan. Grid service based on GIMP for processing remote sensing images. Procs. SYNASC06, IEEE Computer Society (2006), p. 251-258.

D. Petcu. A solution for satellite image processsing on Grids. Procs. DNCOCO06 (2006), p. 75-80.

D. Petcu, S. Panica, A. Eckstein. Satellite image processing on computational Grids. Procs. ACMOS 2007 (2007), p. 216-221.

D. Petcu, D. Zaharie, D. Gorgan, F. Pop, D. Tudor. MedioGrid: a Grid-based platform for sa-tellite images. Procs. IDAACS'2007, IEEE Computer Press (2007), Paper no. i07-056.

F. Pop, C. Gruia, V. Cristea. Distributed algorithm for change detection in satellite images for Grid environments, Procs. ISPDC07, IEEE Computer Press (2007) p. 41-49.

N. Somosi, D. Petcu. A parallel algorithm for rendering huge terrain surfaces. Procs. SYNASC 06, IEEE Computer Society (2006), p. 274-278.

SpaceGrid, http://www.spacegrid.org/.

Y.M. Teo, S.C. Tay, J.P. Gozali. Distributed georectification of satellite images using Grid computing. Procs. Int. Parallel and Distributed Processing Symposium, IEEE Computer Society Press (2003), p. 152–157.

D. Tudor, F. Pop, V. Cristea, V. Cretu. Towards an IO intensive Grid application instrumentation in MedioGrid. Procs.CSCS16 (2007), p.130-135.

D. Tudor, V. Cretu. A data model view on MedioGrid. Procs. CSCS16 (2007), p. 150-154.

D. Tudor, G. Macariu, V. Cretu. Dynamic policy based replication on the Grid. Procs. SACI07 (2007), p. 77-82.

J. Wang, X. Sun, Y. Xue, Y. Hu, Y. Luo, Y. Wang, S. Zhong, A. Zhang, J. Tang, G. Cai. Preliminary study on unsupervised classification of remotely sensed images on the Grid, LNCS 3039 (2004), p. 981–988.

X.J. Yang, Z.M. Chang, H. Zhou, X. Qu, C.J. Li. Services for parallel remote-sensing image proc-essing based on computational Grid, LNCS 3252 (2004), p. 689–696.

C. Yang, D. Guo, Y. Ren, X. Luo, J. Men. The architecture of SIG computing environment and its application to image processing, LNCS 3795 (2005), p. 566-572.

T. Yunck, B. Wilson, A. Braverman. E. Dobinson, E. Fetzer. GENESIS: The general Earth science investigation suite. Procs. ESTC04 (2004).

Downloads

Published

2014-08-01

How to Cite

Petcu, D., Gorgan, D., Pop, F., Tudor, D., & Zaharie, D. (2014). SATELLITE IMAGE PROCESSING ON A GRID-BASED PLATFORM. International Journal of Computing, 7(2), 51-58. https://doi.org/10.47839/ijc.7.2.510

Issue

2008, Volume 7, Issue 2

Section

Articles

License

International Journal of Computing is an open access journal. Authors who publish with this journal agree to the following terms:
•    Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
•    Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
•    Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.