Paper Info
Title
Distributed high-performance computation for remote sensing
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.Our target hardware consists of a heterogeneous collection of distributed workstations, multi-processor servers and massively parallel computers at locations throughout Australia. These platforms are connected by ATM-based LANs and also through ATM switches across long distance WANs such as Telstra's Experimental Broadband Network, connecting Adelaide, Melbourne and Canberra. Our particular interest in constructing remote data access and processing services is the potential to utilise such resources as are available to a given user, yielding the best performance compromise of data processing and data delivery. To this end, we are building a set of resource scheduling and management utilities that will integrate the processing modules we describe. We have considered a number of software frameworks for building our integrated system and are focusing on a distributed object model using WWW protocols and the Java language.
Year
DOI
Venue
1997
10.1145/509593.509633
SC
Keywords
Field
DocType
data collection,processing service,image data,data product,data delivery,integrated system,high-performance processing module,data processing,remote data access,data reduction services at-a-distance,high-performance computation,client server,distributed computing,data access,classification,embedded computing,computer networks,integrable system,classification algorithms,software framework,atm,parallel algorithms,distributed objects,remote sensing,concurrent computing,histograms,parallel algorithm,satellites,broadband network,data reduction,computer model,high performance computing
Distributed object,Data processing,Massively parallel,Computer science,Parallel computing,Server,Computer network,Information repository,Broadband networks,Data access,Client–server model,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-89791-985-8
10
3.04
References 
Authors
2
2
Name
Order
Citations
PageRank
K. A. Hawick129366.26
H. A. James28931.57