Title :
Distributed geo-rectification of satellite images using Grid computing
Author :
Teo, Y.M. ; Low, S.C. ; Tay, S.C. ; Gozali, J.P.
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
Abstract :
Grid computing seeks to aggregate computing resources within an enterprise and leverage on resources not owned for compute-intensive applications. Geo-rectification is a process for correcting spatial location and orientation of a satellite image. This paper focuses on the parallelization of the compute-intensive satellite image geo-rectification problem on a cluster Grid. We discuss our approach to data and task partitioning, visualization technique and the archival of data. The computational tasks include wrapping satellite positional data to compensate the Earth curvature, and consist of several steps such as image re-sampling, resolution conversion and image matching. Experimental results obtained using commodity PC are discussed.
Keywords :
data visualisation; geophysical signal processing; grid computing; image matching; image resolution; image sampling; parallel programming; remote sensing; workstation clusters; Earth curvature compensation; Grid computing; cluster Grid; commodity PC; data archival; data partitioning; distributed geo-rectification; image matching; image re-sampling; parallelization; resolution conversion; satellite image orientation; satellite images; satellite positional data wrapping; spatial location correction; task partitioning; visualization technique; Aggregates; Computer applications; Concurrent computing; Data visualization; Earth; Grid computing; Image converters; Image resolution; Satellites; Wrapping;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
Print_ISBN :
0-7695-1926-1
DOI :
10.1109/IPDPS.2003.1213093
