DHPC Talk DHPCT-011
Distributed High-Performance Computation for Remote Sensing
K.A.Hawick, H.A.James
Archived: 20 December 1997
Presented by K.A. Hawick at Supercomputing '97 in San
Jose, USA, November 19th, 1997.
See also the accompanying
technical paper.
Abstract
We describe distributed and parallel algorithms for processing
remotely sensed data such as geostationary satellite imagery. We have
built a distributed data repository based around the client-server
computing model across wide-area ATM networks, with embedded parallel
and high-performance processing modules. We focus on algorithms for
classification, geo-rectification, correlation and histogram analysis
of the data. We consider characteristics of image data collected from
the Japanese GMS5 geostationary meteorological satellite, and some
analysis techniques we have applied to it. As well as providing a
browsing interface to our data collection, our system provides
processing and analysis services on-demand. We are developing our
system to carry out processing and data reduction services
at-a-distance, enabling remote users with limited bandwidth, access to
our system, to obtain useful derived data products at the resolution
they require.
PostScript version of the slides
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