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Year 2012 50 Downloads
Volume/Issue/Review Month Vol. - V | Spl. Issue II | July
Title Parallel Image Processing Based on Superscalar Pipeline
Authors Biswa Ranjan Acharya
Broad area Parallel Image Processing Based on Superscalar Pipeline
Abstract
This paper presents a parallel image processing model based on pipeline,
concerning the current efficiency of remote sensing image processing, which
cannot meet the need of processing increased number of remote sensing
data. In the multi-core CPU era, the pipeline technology can process the
complex and time-consuming steps of the remote sensing image processing
in superscalar parallel. This model can improve the processing efficiency
significantly. The principles of the pipeline and the parallel computing are
illustrated in detail in this paper. The obtained experimental results show that
the parallel processing model based on pipeline is efficient in the processing
of remote sensing image with large amount of data.
DOI In recent years, remote sensing and earth observation technology make new progress continuously. We receive a large number of new geospatial data from many different sensors every day. If we can’t process these data on time, they will lose their value.
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